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Oxford University Weighting of £1,500 per year (pro rata). Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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) Country United Kingdom Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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based in the Department of Geography and responsible to Prof Tamsin Edwards (line manager and project lead) and Dr Alex Bradley (first supervisor), working with Dr David Watson (Department of Informatics