34 high-performance-computing-postdoc Postdoctoral research jobs at University of London in Uk
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offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics
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, Spain and Norway. The project runs until early 2028 and investigates the potential role of performance-based arts in understanding how coastal communities learn about and respond to ecological crises
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with Prof. Heath Murray at Newcastle University. The group has routine access to the Titan Krios microscopes at LonCEM and eBIC and an in-house computing infrastructure for data processing. About You We
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internationally respected hub of inflammation research. It offers newly refurbished laboratories and a cutting-edge microscopy facility, making it ideal for high-impact research. The Charterhouse Square Campus is
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, with result informing not only potential human work but also work performed in other veterinary species. The successful candidate will have a strong background in heart physiology and some background in
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About the Role A postdoctoral researcher is being recruited to work with Dr Andrew Winter, as an observational astronomer in a primarily theory-oriented group. The high-level goal is to connect
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with