8 Computer-Science-"https:" "https:" "https:" "https:" PhD positions at University of Cambridge
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/science.aea5113) Stockis J et al. Science Immunology 2024 (DOI: 10.1126/sciimmunol.adl1903) Schuijs MJ et al. Nature Immunology 2020 (https://doi.org/10.1038/s41590-020-0745-y ) Preferred skills/knowledge Cell
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sequencing, flow cytometry, multiplex immunofluorescence, spatial transcriptomics, and standard molecular biology approaches. A computational component may also be available, depending on the skills and
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-026-01104-3. Preferred skills/knowledge Applications are invited from graduates in quantitative disciplines such as computer science, AI, and mathematics, but we also encourage applications from
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, regulated and exploited in cancer. The balance between method development, cancer biology and computational analysis will be shaped around your strengths and interests. Applicants from a physical-sciences or
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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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