567 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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from the main supervisor, Professor Simon Crabb (Professor of Experimental Cancer Therapeutics). They will have responsibility for trial development and implementation and involvement in study protocol
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of Digital and Materials Chemistry Tel: +44 (0)113 343 6468 Email: T.W.Chamberlain@leeds.ac.uk OR Dr Nicole Hondow , Associate Professor Tel: +44 (0)113 343 2056 Email: N.Hondow@leeds.ac.uk Please note that
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on LERO case studies and Delphi study to prioritise outcome measures). https://www.fundingawards.nihr.ac.uk/award/NIHR174454 The posts will be based at the Department of Applied Health Sciences
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Job Description Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Degree in Biomedical Sciences or related subject. Normally have or be about to
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology