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Postgraduate School of Life Sciences

 

Senior Clinical Training Scholar (SCTS) in Small Animal Cardiology

SCHOLARSHIP AWARD: £27,820.00

The Scholarship is for one year in the first instance, renewable for periods of one year up to a total of three years.

The Scholarship provides an outstanding opportunity to receive specialist training in all aspects of small animal cardiology and is available to start from December 2024.

You will receive core training in all aspects of clinical cardiology, including interventional procedures and transoesophageal echocardiography. You will also be required to undertake and publish a research project. The training programme is approved by the European College of Veterinary Internal Medicine (ECVIM-CA).

The Scholar will be required to register for the Diploma of the European College of Veterinary Internal Medicine. The training programme requires participation in the Department's clinical service, including the out-of-hours rota and first opinion practice, in addition to small-group teaching of veterinary students.

You must be a Member of the Royal College of Veterinary Surgeons, or hold a veterinary degree qualifying you for membership. Membership will be required prior to commencing the Scholarship. Completion of an appropriate internship or a minimum of two years' experience in small animal practice is essential.

The internship has an abundance of benefits such as:

  • Tax-free stipend

  • Academic opportunities, e.g. teach Cambridge students during rotations and College supervision opportunities; weekly Department research and clinical seminars; journal and book clubs

  • Generous CPD allowance

For more information on benefits and our internship programmes: https://www.hospital.vet.cam.ac.uk/qvsh/internship-and-residency-programmes

Informal enquiries should be directed to Jose Novo Matos (Principal Clinical Cardiologist) by email: jms330@cam.ac.uk

Interviews will be held on Wednesday, 5th of June 2024.

A SCTS application form (SCTS1) and information pack can be downloaded from the following website: https://www.vet.cam.ac.uk/job

Applicants should supply a completed SCTS Application Form (SCTS1), Curriculum Vitae and Covering Letter giving reasons for wishing to undertake the SCTS in the Department of Veterinary Medicine, University of Cambridge.

Applications should be submitted via e-mail to vetmed@vet.cam.ac.uk with the above documents as one attachment, by the closing date stated.

Applications will be monitored regularly, and we may contact candidates prior to the closing date. We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Please quote reference PP41325 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

JCTS in Small Animal Studies x 6

Scholarship Award: £18,370.00 per annum including accommodation

Applications are invited for this one-year post-graduate training programme based in the Queen's Veterinary School Small Animal Hospital. Junior Clinical Training Scholars will receive training and tuition as they rotate through anaesthesia, cardiology, diagnostic imaging, orthopaedics, dermatology, ophthalmology, internal medicine, neurology, oncology, clinical pathology and soft tissue surgery and be supervised by recognised specialists in each field. Scholars will also have responsibility for primary care cases seen at the hospital's charity clinics, and be involved in supervision and guidance of final year veterinary students. Scholars will be an integral part of the out of hours care of animals within the hospital, especially within the intensive care unit. Candidates must be Members of the Royal College of Veterinary Surgeons (RCVS) and should have the following skills and experience:

  • Experience in neutering and performing dental work in dogs and cats

    • Completion of 1 year in primary care veterinary practice in the UK by the start of the scholarship

For applicants for whom English is not their first language, a score of 7.5 in IELTS (with no element under 7), or a score of 100 in TOEFL (with no element less than 24) is desirable.

A JCTS Application Form (JCTS 1) and Information Pack can be downloaded from the following website: https://www.vet.cam.ac.uk/job

Applicants should supply a completed Junior Clinical Training Scholarship Application Form (JCTS 1), a CV and Covering Letter giving reasons for wishing to undertake the JCTS in the Department of Veterinary Medicine, University of Cambridge.

Applications should be submitted via e-mail to vetmed@vet.cam.ac.uk with the above documents as one attachment, by the closing date stated.

Informal enquiries should be directed to the Internship Directors, by email: internship.enquiries@vet.cam.ac.uk.

Please quote reference PP39786 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. Please note: The ability to take up this Scholarship is contingent upon you being able to evidence your right to work in the UK, or through gaining the right to work via the UK immigration system. Evidence will need to be provided before an offer can be made. Regrettably, this Scholarship is not suitable for sponsorship via the Skilled Worker or Temporary Worker visa routes as the minimum requirements cannot be met.

Candidates may be contacted for interview prior to the closing date.

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Senior Clinical Training Scholarship (SCTS) in Diagnostic Imaging

Scholarship award: £27,820.00

This Senior Clinical Training Scholarship (SCTS) provides an outstanding opportunity to study for a postgraduate qualification, and is available to start on 1 July 2024 or as soon as possible thereafter. You will be trained in all aspects of veterinary diagnostic imaging, including radiology, ultrasonography, magnetic resonance imaging and computed tomography. The training programme is approved by the European College of Veterinary Diagnostic Imaging.

The Scholarship is for one year in the first instance, renewable for periods of one year up to a total of three years. It is subject to an initial monitoring period of six months and review on an annual basis.

You will be required to register with the ECVDI for the Diploma in Diagnostic Imaging. The training programme requires participation in the Department's clinical service, including the out-of-hours rota and first opinion clinic, in addition to small-group teaching of veterinary students. You will also be expected to participate in research projects as part of your training.

You must be a Member of the Royal College of Veterinary Surgeons, or hold a veterinary degree qualifying you for membership. Completion of a recognised internship or a minimum of two years' experience in small animal practice is essential.

We welcome candidates wishing to apply for the scholarship to come and visit the hospital and to meet the team. Please contact Marie-Aude Genain, Principal Clinical Radiologist, on mag72@cam.ac.uk to arrange a convenient date.

A SCTS application form (SCTS1) and information pack can be downloaded from the following website: https://www.vet.cam.ac.uk/job

Applicants should supply a completed SCTS Application Form (SCTS1), Curriculum Vitae and Covering Letter giving reasons for wishing to undertake the SCTS in the Department of Veterinary Medicine, University of Cambridge.

Applications should be submitted via e-mail to vetmed@vet.cam.ac.uk with the above documents as one attachment, by the closing date stated.

Closing date for applications: Wednesday 17 April 2024

Interviews will be held on the week commencing 22 April 2024.

Please quote reference PP41012 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

PhD studentship: Artificial intelligence based early detection of signet ring cell carcinoma in hereditary diffuse gastric cancer patients

This is a unique opportunity for PhD study in the world-leading Cancer Research UK Cambridge Institute (CRUK CI), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute has excellent state-of-the-art facilities and research ranges from basic biology and computational biology through to translational cancer research and clinical application.

Postgraduate students play a pivotal role in the continuing success of our research programmes. If you are interested in contributing to our success, please find further information at: https://www.cruk.cam.ac.uk/jobs-and-studentships/postgraduate-study

Professor Florian Markowetz wishes to recruit a student to work on the project entitled: Artificial intelligence based early detection of signet ring cell carcinoma in hereditary diffuse gastric cancer patients

This project will be co-supervised by Dr. Massimiliano di Pietro, a consultant gastroenterologist at Addenbrookes' hospital.

For further information about the research groups, including their most recent publications, please visit their website:
www.cruk.cam.ac.uk/research-groups/markowetz-group/ www.earlycancer.cam.ac.uk/dr-massimiliano-di-pietro/

Project details

Hereditary diffuse gastric cancer (HDGC) is a syndrome predisposing individuals to gastric cancer linked to mutation of the e-Cadherin gene (CDH1). Guidelines recommend prophylactic surgery with the view to prevent disease specific mortality, however a gastrectomy is linked to significant morbidity and impacts negatively to quality of life. Therefore, recently endoscopic surveillance has been proposed to assess the level of risk and detect early cancer, so that the best timing of prophylactic surgery is decided. Early signet ring cell carcinoma, however, is difficult to diagnose on standard endoscopy as the endoscopic features are very subtle. There is variation in practice in the pathological yield of biopsies even among expert centres. The aim of this project is to test and validate machine learning and deep learning methods to improve the diagnosis of early cancer in individuals with HDGC. This project is expected to lead to the development of an AI system that can assist the physician to diagnose early signet ring cancer, with high accuracy, during endoscopic surveillance of individuals with HDGC, ultimately improving the diagnosis of of sporadic gastric cancer.

Preferred skills/knowledge

We welcome applicants from both a computational or clinical background. Preferably, applicants have prior experience in computer programming and be familiar with data analysis, especially imaging data, in a programming language used for deep learning such as Python, including libraries such as Scikit-learn or PyTorch, and be passionate about the application of AI in clinical practice.

References/Further reading (optional)

  1. Lee CYC, Olivier A, Honing J, et al. Endoscopic surveillance with systematic random biopsy for the early diagnosis of hereditary diffuse gastric cancer: a prospective 16-year longitudinal cohort study. Lancet Oncol. 2023;24(1):107-116.
  2. Blair VR, McLeod M, Carneiro F, et al. Hereditary diffuse gastric cancer: updated clinical practice guidelines. Lancet Oncol. 2020;21(8):e386-e397.
  3. Li J, Zhu Y, Dong Z, et al. Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study. EClinicalMedicine. 2022;46:101366.
  4. Dong Z, Wang J, Li Y, et al. Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy. NPJ Digit Med. 2023;6(1):64.

Funding

This four-year studentship is funded by Cancer Research UK and includes full funding for University and College fees and, in addition, a stipend currently of £21,000 per annum for 4 years.

Eligibility

No nationality restrictions apply to Cancer Research UK studentships. Applications are invited from recent graduates or final year undergraduates who hold or expect to gain a first/upper second-class degree (or equivalent) in a relevant subject from any recognised university worldwide. Applicants with relevant research experience gained through Master¿s study, or while working in a laboratory, are strongly encouraged to apply.

How to apply

Please apply using the University Applicant Portal. For further information about the course and to access the applicant portal, go to:
https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc Please select to commence study in Michaelmas Term 2024 (October 2024).

To complete your online application, you will need to provide the following:

Reference Request

The names and contact details of two academic referees who have agreed to act on your behalf.

Course Specific Question

Your statement of interest (limit of 2,500 characters) should explain why you wish to be considered for the studentship and which qualities and experience you will bring to the role.

Supporting Document

Please upload your CV (PDF file).

Deadline

The closing date for applications is 31 March 2024 with interviews expected to take place in mid to late May.

Please quote reference SW40762 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

PhD studentship: Identifying morphological progression risk factors in oesophageal cancer by combining genome sequencing with histopathology using deep neural networks

This is a unique opportunity for PhD study in the world-leading Cancer Research UK Cambridge Institute (CRUK CI), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute has excellent state-of-the-art facilities and research ranges from basic biology and computational biology through to translational cancer research and clinical application.

Postgraduate students play a pivotal role in the continuing success of our research programmes. If you are interested in contributing to our success, please find further information at: https://www.cruk.cam.ac.uk/jobs-and-studentships/postgraduate-study

Professor Florian Markowetz wishes to recruit a student to work on the project entitled: Identifying morphological progression risk factors in oesophageal cancer by combining shallow whole genome sequencing and histopathology using deep neural networks.

For further information about the research group, including their most recent publications, please visit their website: www.cruk.cam.ac.uk/research-groups/markowetz-group/

Project details

Early detection of risk factors for oesophageal cancer can dramatically increase the survival rate for patients. Doctors often rely on numerous data sources to conclude a diagnosis, including medical history and pathology results. There is evidence that genomic data alone can predict the progression of cancer years before visible symptoms present themselves, however current computational risk prediction methods often only utilise one modality, e.g. histopathology images, or patient data. This project will aim to integrate these multi-modal features for risk prediction of oesophageal cancer by understanding the relationship between genomic data from biopsies, and anonymised patient medical history.

Preferred skills/knowledge

Coding experience and knowledge is essential, preferably in Python. Experience with associated image processing libraries, or PyTorch and other deep learning libraries is preferred.

References/Further reading (optional)

Killcoyne, S., Gregson, E., Wedge, D.C. et al. 'Genomic copy number predicts esophageal cancer years before transformation.' Nat Med 26, 1726-1732 (2020). doi:10.1038/s41591-020-1033-y Mandair, Divneet, Jorge S. Reis-Filho, and Alan Ashworth. 'Biological Insights and Novel Biomarker Discovery through Deep Learning Approaches in Breast Cancer Histopathology'. Npj Breast Cancer 9, 21 (2023), https://doi.org/10.1038/s41523-023-00518-1.

Funding

This four-year studentship is funded by Cancer Research UK and includes full funding for University and College fees and, in addition, a stipend currently of £21,000 per annum for 4 years.

Eligibility

No nationality restrictions apply to Cancer Research UK studentships

Applications are invited from recent graduates or final year undergraduates who hold or expect to gain a first/upper second-class degree (or equivalent) in a relevant subject from any recognised university worldwide. Applicants with relevant research experience gained through Masters study, or while working in a laboratory, are strongly encouraged to apply.

How to apply

Please apply using the University Applicant Portal. For further information about the course and to access the applicant portal, go to:
https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc Please select to commence study in Michaelmas Term 2024 (October 2024).

To complete your online application, you will need to provide the following:

Reference Request

The names and contact details of two academic referees who have agreed to act on your behalf.

Course Specific Question

Your statement of interest (limit of 2,500 characters) should explain why you wish to be considered for the studentship and which qualities and experience you will bring to the role.

Supporting Document

Please upload your CV (PDF file).

Deadline

The closing date for applications is 31 March 2024 with interviews expected to take place mid to late May.

Please quote reference SW40760 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

PhD Studentship- Uncovering the chemical origin of lipid membrane diversity (3.5 years F

A fully funded 3.5-year PhD studentship, supported by an LCLU Joint Collaborative Programme grant, is available in the ProtocellLab (www.bonfiolab.eu) at the Department of Biochemistry commencing on 1 October 2024.

Summary:The origin of cell membranes is a major unresolved issue in evolution. Evolutionary biology points to the existence of primitive cells with compositionally diverse membranes. However, the assumption that such lipid diversity is dependent upon enzymatic chemistry has generated models comprising compositionally minimal membranes (binary or ternary mixtures of short-chain fatty or phosphatidic acids). This project aims to reconcile biology and chemistry by challenging the critical limiting assumption that lipid diversity cannot be achieved through non-enzymatic chemistries. The project will lead to a fundamental understanding of the origins of lipid diversity, including the features now associated with bacterial and archaeal lipids; new strategies based on compositionally diverse membranes to probe, sense or replicate cellular behaviours; and a deep-rooted understanding of the emergence and evolution of cellular processes at the molecular level.

Background: While prebiotic pathways to all four RNA nucleotides and most of the twenty biological amino acids have been proposed, only a few non-enzymatic routes to modern lipids have been described. As such, prebiotic chemistry has yet to address models of primitive membranes comprising the vast structural diversity of modern lipids. However, if lipid diversity is an essential feature of modern membranes, can non-enzymatic chemistry be harnessed to generate lipid diversity?

Approach: To identify the set of diverse lipids that could have been formed non-enzymatically on early Earth, the student will adapt diversity-oriented synthetic strategies to prebiotic chemistry by transforming primitive lipids into modern lipids through non-enzymatic chemical strategies. The student will design and develop novel synthetic methods to generate libraries of lipids using a combination of solution-phase, membrane-templated and dry-state chemistries. The supramolecular properties of synthetic lipids and their biophysical features will be evaluated by fluorescence spectroscopy, dynamic light scattering, and light and electron microscopy. Additionally, encapsulated prebiotic reactions, such as RNA replication and protometabolic processes, will be investigated to better understand the chemistry of bioinspired systems.

ProtocellLab: The main focus of the ProtocellLab is to understand how primitive cells emerged on early Earth and how they started to interact with one another. The group is moving to the Department of Biochemistry in June 2024. The PhD student will develop skills in the areas of prebiotic, systems and supramolecular chemistry, applied to primitive and artificial cells. The small group size (5 PhD students and 2 PDRAs) ensures close supervision and training. The project offers interactions with other groups within the Leverhulme Centre for Life in the Universe, with the possibility of performing research periods abroad.

Fixed-term: The funds for this post are available for 3.5 years in the first instance.

Application. To apply, please e-mail Dr Claudia Bonfio (cb2036@cam.ac.uk) with the following information by 29 March 2024:

  • CV (max two pages), with full contact details of 2 academic referees.
  • Motivation letter (max two pages) highlighting (a) your research interests, (b) what you hope to achieve from the programme, and (c) why you wish to undertake this PhD.

Please note that applicants are also required to officially apply to the University using the Applicant Portal: http://www.graduate.study.cam.ac.uk/how-do-i-apply by the deadline of 29 March 2024. Please search in the Course Directory for 'Biochemistry' PhD (Course Code: BLBI22) as the programme of study. Applicants should indicate on the application form that they wish to apply for other sources of funding.

Any questions regarding the application process should be directed to the Postgraduate Admissions Administrator at pg-entry@bioc.cam.ac.uk.

This studentship is open to UK citizens or UK nationals or have a settled/pre-settled status only.

Please quote reference PH40713 on your application and in any correspondence about this vacancy.

The Protocell Lab and the University actively support equality, diversity and inclusion and encourage applications from all sections of society. We place major emphasis on the importance of teamwork and an enjoyable work environment as a foundation for performing internationally leading research. This will allow the student to acquire cutting-edge research methodologies in a supportive environment where they can focus on making the best possible scientific progress.

Senior Clinical Training Scholar in Small Animal Medicine

Scholarship award: £27,820.00 (Subject to change)

The Senior Clinical Training Scholarship in Small Animal Medicine is available, to start on 1 July 2024. The training programme covers all aspects of small animal medicine, including cardiology, oncology, medical neurology, diagnostic imaging and clinical pathology, and is approved by the European College of Veterinary Internal Medicine.

The Scholar will be required to register for the Diploma of the European College of Veterinary Internal Medicine. The training programme requires participation in the Department's clinical service, including the out-of-hours rota and first opinion practice, in addition to small-group teaching of veterinary students.

An applicant must be a Member of the Royal College of Veterinary Surgeons, or hold a veterinary degree qualifying her/him for membership. Completion of an appropriate internship or a minimum of two years' experience in small animal practice is essential.

Informal enquiries should be directed to Nick Bexfield, Clinical Director of Small Animal Services, by email: nb289@cam.ac.uk

A SCTS application form (SCTS1) and information pack can be downloaded from the following website: https://www.vet.cam.ac.uk/job

Applicants should supply a completed SCTS Application Form (SCTS1), Curriculum Vitae and Covering Letter giving reasons for wishing to undertake this SCTS in the Department of Veterinary Medicine, University of Cambridge.

Applications should be submitted via e-mail to vetmed@vet.cam.ac.uk with the above documents as one attachment, by the closing date stated.

Closing date for applications: Midnight on Tuesday, 19 March 2024

Please quote reference PP40591 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

PhD studentship: Dietary modulation of amino acids to improve chemotherapy response in breast cancer

This is a unique opportunity for PhD study in the world-leading Cancer Research UK Cambridge Institute (CRUK CI), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute has excellent state-of-the-art facilities and research ranges from basic biology and computational biology through to translational cancer research and clinical application.

Postgraduate students play a pivotal role in the continuing success of our research programmes. If you are interested in contributing to our success, please find further information at: https://www.cruk.cam.ac.uk/jobs-and-studentships/postgraduate-study

Professor Greg Hannon and Dr Kirsty Sawicka wish to recruit a student to work on the project entitled: Dietary modulation of amino acids to improve response to chemotherapy in breast cancer.

For further information about the research group, including their most recent publications, please visit https://www.cruk.cam.ac.uk/research-groups/hannon-group.

Project details

An opportunity has arisen for a talented student to join the interdisciplinary laboratory of Professor Greg Hannon located at the CRUK Cambridge Institute, University of Cambridge. The Hannon laboratory has a long-standing interest in RNA biology and cancer research, and a strong history of developing new tools to address cutting-edge questions in these fields. The lab has lead the way in spatial imaging of tumours and established a suite of technologies to interrogate tumour heterogeneity and the tumour microenvironment.

The successful applicant will work as part of a small, collaborative team of scientists in the Hannon lab working on tumour heterogeneity and will be supported by a fully-funded PhD studentship from Breast Cancer Now. Previous work in the lab has identified a subpopulation of triple negative breast cancer cells that are resistant to standard chemotherapy and which are highly dependent on non-essential amino acids. This project will build upon these findings and use pre-clinical and patient-derived models of breast cancer to study the effects of modulating the availability of specific amino acids through drugs or dietary changes on tumour growth and response to chemotherapy. The ultimate aim of project is to develop novel and more effective treatments for triple negative breast cancer and identify biomarkers of response to these interventions. Over the course of the project, the successful applicant will utilise a range of cutting-edge technologies including single cell lineage tracing and transcriptomics methods developed in the Hannon lab to bring new insights into the effects of diet on the success of cancer therapies. There will be additional opportunities alongside this project to engage in the development of new clonal lineage tracing and multi-omics methods.

Preferred skills/knowledge

The ideal candidate would have a strong background in genetics, molecular biology and/or biochemistry, with an interest in cancer therapies, technology development, cancer biology and single cell sequencing-based methods. A minimum of 6 months of practical research experience is required, preferably in molecular biology. The successful candidate is expected to drive their own independent research project while also working closely with other team members. Excellent communication, record keeping, organisational, time-management and problem-solving skills are required. The project will involve mouse models and bioinformatics - no prior experience in these areas is required as all necessary training will be provided, but a willingness to learn is essential.

Further Reading

  1. Wild SA, et al. (2022). Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies. Elife.
  2. Maddocks ODK, et al. (2017). Modulating the therapeutic response of tumours to dietary serine and glycine starvation. Nature.
  3. LeBoeuf SE et al. (2020). Activation of Oxidative Stress Response in Cancer Generates a Druggable Dependency on Exogenous Non-essential Amino Acids. Cell Metab.

Funding

This position is funded by a Breast Cancer Now studentship to Prof. Hannon and Dr Sawicka and includes full funding for University and College fees and in addition, a stipend currently of £21,000 per annum for 4 years.

Eligibility

No nationality restrictions apply. Applications are invited from recent graduates or final year undergraduates who hold or expect to gain a first/upper second-class degree (or equivalent) in a relevant subject from any recognised university worldwide. Applicants with relevant research experience, gained through Master's study or work in a laboratory environment, are strongly encouraged to apply.

How to apply

Please apply using the University Applicant Portal. For further information about the course and to access the applicant portal, go to:
https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc Please select to commence study in Michaelmas term 2024 (October 2024).

To complete your on-line application, you need to provide the following:

Reference Request: The names and contact details of two academic referees who have agreed to act on your behalf.

Course Specific Question: Your statement of interest (limit of 2,500 characters) should explain why you wish to be considered for the studentship and which qualities and experience you will bring to the role. Please also state how you learned of the studentship.

Supporting Document: Please upload your CV (PDF file), which should include a list of the examinations taken at undergraduate level and if possible, your examination results.

Deadline

The closing date for applications is 12 March 2024 with interviews expected to take place in the week beginning either 20 or 27 March 2024.

Please quote reference SW40499 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

3-year PhD studentship (Fixed Term)

Applications are invited for a fully-funded 3-year studentship based in the Department of Pathology at the University of Cambridge under the supervision of Prof Nicholas Coleman and Dr Anton Enright.

**Project title: Investigating Alternative Splicing As A Driver Mechanism And Therapeutic Target In Squamous Cell Carcinoma**

Squamous cell carcinomas (SCCs) are common malignancies that arise at sites including the skin, aero-digestive tract and genitourinary tract. Despite different SCCs being associated with at least one carcinogenic insult (e.g. tobacco, human papillomavirus infection and UV damage), the drivers of SCC carcinogenesis remain largely elusive. Our lab is testing the hypothesis that aberrant RNA splicing is a central mechanism of carcinogenesis in SCCs. We have recently shown that splicing dysregulation in SCCs is not a passenger phenomenon, but likely constitutes a critical driver of oncogenesis, reflected by splicing aberrations in hallmark-related genes across SCC subtypes and a difference in splicing regulation compared with healthy tissues and other tumour types.

This studentship will allow us to advance our understanding of how splicing contributes to oncogenesis in SCC and whether it is a vulnerability that can be targeted therapeutically. Our objectives will be:

  1. Build an atlas of alternative splicing in SCC, using, single-cell RNA sequencing, bulk deep transcriptional profiling and bulk whole genome sequencing. All data will be processed using our bespoke splice-aware RNA-Seq pipelines. The datasets will be examined to characterize subtype-specific and cross-subtype splicing signatures, as well as signatures linked to known causative environmental factors, such as UV damage or human papillomavirus infection.

  2. Understand the co-evolution of aberrant splicing and progression of HPV16-associated SCC, using the unique cell line model W12.

  3. Characterise the role of the splicing factor serine/arginine-rich splicing factor 10 (SRSF10) in regulating oncogenic splicing in SCC, by tracking splicing changes following depletion of SRSF10 in SCC vs. adenocarcinoma and non-malignant cell lines.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

This is a three year PhD studentship, funded by The Pathological Society of Great Britain and Ireland. It involves a combination of computational and wet lab research.

Applicants should hold (or expect to obtain) the equivalent of a UK 2.1 or higher in an undergraduate honours or Masters degree in a relevant subject such as molecular biology, genetics or computational biology. The studentship is open to those eligible for the Home rate of University fees. Applications should include academic transcripts, CV, statement of purpose and two references.

If you have any queries regarding the application process please contact postgrad@path.cam.ac.uk

Please quote reference PK40360 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Astra Zeneca funded Non clinical PhD Studentship (Fixed Term) in `Multimodal AI-guided tools for early prediction of disease progression in neurodegenerative disorders'.

Applications are invited for 4-year PhD studentship based in the Department of Psychology, University of Cambridge and the new AstraZeneca Discovery Centre at Cambridge. The student will be working on a collaborative project jointly supervised by Professor Zoe Kourtzi at Department of Psychology Cambridge in collaboration with AstraZeneca's Neuroscience (Dr Keith Tan, Dr Andrew Lowe) and Data Science & AI (Dr Philip Teare, Dr Gayathri Mohankumar) teams and will work have opportunity to work across the two sites. The project, entitled 'Multimodal AI-guided tools for early prediction of disease progression in neurodegenerative disorders' is in the field of AI for Neuroscience that has generated much excitement in both academia and industry.

The project focuses on the development and implementation of AI-guided approaches for early prediction of neurodegenerative disorders. In particular, we aim to develop an innovative data-driven approach that capitalises on state-of-the-art algorithms from artificial intelligence (foundational models) to mine multimodal data from polygenic risk scores, MRI scans, biomarkers and cognitive tasks for early prediction of disease progression. Using this cross-disciplinary approach, we will develop AI-guided tools that predict individualised disease trajectories. We will optimise and validate these tools using large-scale research data and real-world data from clinical trials to assess their efficacy in identifying the right patients for the right treatment.

Candidate

We are looking for a highly motivated and enthusiastic individual capable of thinking and working independently. Applicants should have or shortly expect to obtain a first or upper second-class degree from a UK university, or an equivalent standard from an overseas university, in a relevant subject such as Maths, Computer Science, Engineering, Neuroscience, Medicine. Experience with machine learning, data science, bioinformatics, clinical data analytics is desirable and background or strong interest in neuroscience and neurodegeneration preferable.

The position is open to UK citizens or overseas students who meet the UK residency requirements (home fees) or are able to augment the funds to cover the extra costs associated with international student fees through scholarships or funding schemes. Full details of the University's entrance requirements and scholarships are specified on the following link: https://www.postgraduate.study.cam.ac.uk/

Funding Full funding covering Maintenance fees at £21,500 per annum and the University Composition Fee is provided for the studentship, with effect from 1 October 2024.

Fixed-term: The funds for this post are available for 4 years in the first instance.

Application Process You can find out more about the Department of Psychology at https://www.psychol.cam.ac.uk/ and Please address any questions about this studentship to Professor Zoe Kourtzi at zk240@cam.ac.uk

Applications for this studentship should be made to the Department of Psychology. The course code is BLPC22 (PhD in Psychology). https://www.postgraduate.study.cam.ac.uk/application-process/how-do-i-apply

With your application you will be required to submit (i) a draft research proposal outlining your suitability, why you are interested in pursuing a PhD in this area, your background and research interests. (ii) your CV stating your citizenship and years of residence in the UK (If applicable) (iii) copies of your academic transcripts (iv) details of two academic referees.

Student support and training As a postgraduate student at Cambridge, you will have access to a wide range of training opportunities and benefit from close supervision provided by a primary and secondary PhD supervisor as well as a personal mentor. The collaboration between teams (Kourtzi, AstraZeneca) will provide you with unique cross-disciplinary training in discovery and translational neuroscience, as well as experience in translating research to industry and clinical practice.

During the PhD, there is no taught or examined coursework, but students are encouraged to attend the wide variety of lectures and training courses available to them across the Institute and wider University. This includes a centrally run Statistics course and the University Core Skills Training Programme, which includes sessions on Time Management, Presentation and Performance and Scientific Writing. Students at the Institute will be members of the University's Postgraduate School of Life Sciences (PSLS) who offer a wide variety of core skills and professional development training. Visit the Researcher Development page on the PSLS website for more information. In addition, the student can also take advantage of training courses and seminars in therapeutic sciences offered by Cambridge Academy of Therapeutic Sciences.

All students are expected to attend all internal and external seminars held within the Department of Psychology. Students will also be encouraged to attend and present at the annual AstraZeneca students symposium.

Diversity and Inclusion

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We place major emphasis on the importance of team work and an enjoyable work environment as a foundation for performing internationally leading research. This will allow the student to acquire cutting edge research methodologies in a supportive environment, where they can focus on making the best possible scientific progress.

The closing date for applications will be Sunday 18 February 2024 at midnight.

Interviews will take place February/March 2024

Please quote reference PJ40357 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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