193 engineering-computation "https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" "UCL" research jobs at University of Oxford
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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The Quantum Information and Computation group in the Mathematical Institute, led by Prof Balint Koczor, is looking for a highly motivated and exceptionally talented quantum theorist to lead new
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Location: Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG Contract type: Fixed Term until 30th September 2028 The Quantum Information and Computation group in
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We are seeking a full-time Postdoctoral Research Assistant to join the Multifunctional Materials & Composites (MMC) Laboratory at the Department of Engineering Science. The post is funded by
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis
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About the role We are seeking a full-time Postdoctoral Research Assistant to join Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards