399 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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About Us The Institute of Pharmaceutical Science (IPS) at KCL supports world class fundamental and applied research across the full spectrum of pharmaceutical science, from drug discovery through
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. The successful candidate will have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a
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Research Assistant / Postdoctoral Research Associate ( Job Number: 25001819) Department of Sport & Exercise Science Grade 6/7: - RA Grade 6 £31,236 - £37,694 per annum OR PDRA Grade 7 £38,784
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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will be essential. The supporting materials required for candidates are: Cover Letter: (max. 2 pages, 12 pt font), addressed to Professor Frank Salmon, Director. CV: (max. 3 pages, 12 pt font) Research
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, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science
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We are seeking a full-time Postdoctoral Research Assistant to join the Environmental Fluid Mechanics Group at the Department of Engineering Science in central Oxford. The post is externally funded
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A Postdoctoral Research Associate positions is available in the group of Professor M. J. Rosseinsky OBE FRS on a project funded by the Sustainable Chemicals and Materials Manufacturing Hub (SCHEMA
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is seeking a Postdoctoral Research Associate in Biochemistry to join an ambitious research programme focused on the development of new
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques