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@ch.cam.ac.uk , including 'PhD CI ¿ October 2026' in the subject. How to apply Please apply via the University Applicant Portal. For further information about the course and to access the Applicant Portal, click
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Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further information about the research group, including their most recent publications, please visit their website at https://www.carroll-lab.org.uk/ Prostate cancer is the most common cancer in men in...
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technologies, bulk and single-cell RNA-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available
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Supervisors: Professor Sir Steve Jackson and Dr Mark O'Connor (AZ Partner) Course start date: 1st October 2026 Project details Targeted Alpha Therapy (TAT) selectively delivers high Linear Energy Transfer (LET) alpha-particles to cancer cells, maximising efficacy while minimising toxicity. ...
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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Applications are invited for a fully funded 4-year PhD studentship based in the Department of Biochemistry, University of Cambridge, and the new AstraZeneca Discovery Centre in Cambridge
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, please send your one-page cover letter and two-page CV to Professor Nathan Crilly [nc266@cam.ac.uk ]. The message header should be "JLR PhD Application". Emails should arrive no later than 1 September 2025
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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational