549 professor-computer-science-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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in recycling, bioremediation and green chemistry. Candidate enzymes are mechanistically investigated, structurally characterised and subsequently improved by directed evolution. Ultrahigh-throughput
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The PhD programme at Bayes Business School (formerly Cass) , City St George’s, University of London is offering 15 PhD studentships comprising full tuition fees and maintenance grant of £22,780 pa
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on percolation network of molecules and semiconductor processing. The post holder will be located in
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possible, please contact Professor Gill Elliott once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants will have or expect to have an MSc, and/or
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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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practice and community responses. The PhD student will be supervised by the project’s principal investigator, Professor Yafa Shanneik. Requirements A Master’s degree in Social Policy, Political Science, Law
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) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research topics, adhering to established scientific writing standards
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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International tuition fees and provides a UKRI-level stipend (£21,383 per annum, 2026/27) for up to four years (full-time or part-time). The PhD will be based in the Management programme at the University
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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage