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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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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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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