10 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD positions at University of Cambridge
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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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at https://biffilab.wordpress.com Pancreatic ductal adenocarcinoma (PDAC) remains a formidable clinical challenge. A major recent advance has been the development of KRAS inhibitors, which have shown
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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landscape of breast cancer. Nat Cancer 1, 163-175 (2020). Gupta, P. et al. Single-cell spatial atlas of the aging human breast. Nat Aging https://doi.org/10.1038/s43587-026-01104-3 (2026) doi:10.1038/s43587
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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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major £10 million national research programme bringing together leading experts in cancer epidemiology, biostatistics, artificial intelligence, and health data science. THE PROJECT: Early cancer diagnosis
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. For further information regarding eligibility and PhD projects available please see PhD Programme MRC Biostatistics Unit (https://www.mrc-bsu.cam.ac.uk/phd-programme ) To apply please see the University's
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bring to the role. The studentships are available to students who qualify for UK HOME FEES ONLY Please check for eligibility details using this website: https://www.postgraduate.study.cam.ac.uk/finance
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques