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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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therapy resistance has already been observed in both patients and pre-clinical mouse models, highlighting the urgent need to define the mechanisms that drive resistance and to identify rational combination
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group of Prof. Sera Markoff (Plumian Professor) studies these systems across the full black hole mass scale, combining GPU-accelerated supercomputer simulations and semi-analytic modelling with data from
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Applications are invited for a Research Assistant / Associate to lead a project at the intersection of human stem cell biology, disease modelling, functional genomics, and translational neuroscience
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using diverse models, both in vitro and in vivo. The precise direction of the project will be developed according to the student's interests and emerging findings in the laboratory. Depending
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detailing how your skills and experience match the person specification to [email protected] If you require additional information or support, please e-mail [email protected] Further
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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working for a large Cambridge University College. How to Apply To apply, please submit a CV and a covering letter detailing how your skills and experience match the person specification to recruitment
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list [email protected] [email protected] Regularly check your junk or spam folders, as emails may occasionally be filtered there. Early applications are encouraged as we reserve the right
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following email address to your safe sender list [email protected] [email protected] * Regularly check your junk or spam folders, as emails may occasionally be filtered there. Early