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, Northumbria University, University Hospital Zurich and University College London (UCL). https://www.arct.cam.ac.uk . This is a rare opportunity to shape the future of healthcare environments through rigorous
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contributions from the Universities of Cambridge, Durham, Edinburgh, Hertfordshire, London (UCL), Manchester and the UKRI STFC Scientific Computing Division. The successful candidate will become part of a diverse
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Applications are invited for the position of Research Associate in Risk-Stratified Cancer Screening at the Centre for Cancer Genetic Epidemiology of the Department of Public Health and Primary Care
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) optogenetics, electrophysiology neuropharmacology (Paulsen, Dalley, Poort labs, Cambridge; Rusakov lab: UCL), c) computational and AI-inspired modelling (Ahmadian lab, Cambridge). This international
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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate
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The University of Cambridge is seeking a highly motivated, organised and initiative-focused computational biologist to join a team of clinical, immunological and computational researchers within CG
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic