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engineering, computing, or science discipline, or have significant relevant experience in addition to a relevant degree. You will have research interests consistent with the strategic direction
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Ref NumberB02-08834Professional ExpertiseClinicalDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed-termWorking TypeOn
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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crossing the disciplines of computational mechanics and biomedical engineering? Do you have an interest in developing computational models to investigate the lubrication of natural joints? Do you want
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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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contacts from existing collaborations, including the prediction of response to treatment in rheumatoid arthritis, and with colleagues at the Diabetes Medical Informatics and Epidemiology research group
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of Computing and Digital Technology is a thriving, vibrant, and inspiring learning community committed to excellence in research, high quality teaching and impactful industrial engagement. Building on continuous
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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models including indirect calorimetry, mass spectrometry lipidomics, and PET/CT imaging alongside immunohistological, microscopy, tissue culture and molecular biology techniques (gene / protein expression