241 cloud-computing-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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The Royal Veterinary College, University of London | Potters Bar, England | United Kingdom | 1 day ago
About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate (PDRA) to join the lab of Dr. David Watson in the Department of Informatics, based at Bush House in
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and
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and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT in
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate (PDRA) to join the lab of Dr. David Watson in the Department of Informatics, based at Bush House in
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics