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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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in a highly interdisciplinary environment. The Group’s research is funded by peer-reviewed grants, including from the British Heart Foundation, Medical Research Council and British Society for Heart
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with biological...
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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to useful implementation. We have pathways to take new medical devices and techniques through to pre-clinical testing and early in-human testing, with full support for regulatory approval, to perform patient
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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, Computer Science, Maths/Engineering, or a Medical Sciences subject, and either have a Ph.D. or the equivalent experience. Mostly, apart from some prior experience in FOSS, Data Science or modelling, we
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image analysis and is increasingly used in cancer research to uncover morphological features linked to...