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of Masters Programmes and a substantial number of postgraduate research students. This is an exciting opportunity to join the Computational Biology Group headed by Professor Christine Orengo. The successful
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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growing national and/or international reputation for research in the sustainability space, alongside a passion for translating social science research into useful learning and wider impact. Applicants
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impact RNA structure and the molecular mechanisms by which acetylation of RNA impacts cellular functions. Your main research tool will be structural biology together with biochemical, biophysical and
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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of Masters Programmes and a substantial number of postgraduate research students. This is an exciting opportunity to join the Computational Biology Group headed by Professor Christine Orengo. The successful
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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be based in the deep Earth research group within the School of Earth and Environment at the University of Leeds and work closely with Professors Phil Livermore and Chris Davies , collaborating with
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Applications are invited for a research fellow to join the Integrated Clinical-Computational Affective Research Unit, led by Dr Liam Mason (Associate Professor of Clinical Psychology and MRC
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of second-generation Quantum Technology (QT) systems. Your successful application will mean you will join an established team of QT researchers. Within the team you will develop, refine and apply high