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As Senior Computational Biologist, you will: Develop cutting-edge methods to predict which somatic mutations drive clonal expansion Integrate large-scale multimodal omic datasets from healthy and
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multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical physics, statistical methodology, health economics, modelling, and health behaviour. The academic
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Fellow to join an exciting interdisciplinary research programme. This is a unique opportunity to investigate mechanisms of cancer dormancy and develop predictive models of late recurrence in oestrogen
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