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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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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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multidisciplinary team of clinicians, scientists, nurses and support staff, delivering a programme of research relating to traumatic injury, haemostatic resuscitation and optimisation of patient outcomes. The Centre
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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
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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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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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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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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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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