288 postdoctoral-image-processing-in-computer-science-"UCL" positions at University of Nottingham
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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Applications are invited for a postdoctoral research position at the University of Nottingham, to work on simulations of galaxy clusters with Dr. Yannick Bahé. This position is part of a UKRI funded
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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). Based at AEGIS in London, you will report to the Head of Innovation and work closely with AEGIS’s Innovation team. Fully supported by academic experts within the University’s School of Computer Science
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research programme funded by the Academy of Medical Sciences Springboard award. This project aims to explore the role of these neighbouring glycoproteins in neurotrophin-mediated neuronal development as
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A fantastic opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive
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Media (HELM) team in the School of Health Sciences , University of Nottingham. The HELM team comprises academics and learning technologists and have an international reputation for e-learning development
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volunteer pilot-study in healthy participants involving intake of sugar and alcohol, neuroimaging, collection of biological samples and subsequent analysis using molecular biology techniques. You will be
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An opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive Technologies
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, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic modelling. Furthermore, Section members collaborate with