69 high-performance-computing-postdoc research jobs at University of Nottingham in Uk
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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utilising a common primary signalling machinery (i.e. G proteins). The successful candidate will evaluate a panel of up to 12 different GPCRs using high-throughput, plate reader-based BRET and FRET assays
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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also promote the work of the PHIRST programme as a whole via various means including presentations. Based at the University of Nottingham University Park Campus, this is a fixed term, part-time (0.6FTE
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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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musculoskeletal health, obesity, imaging, and metabolic science. Keen to contribute to high-impact research with real clinical relevance. You must have a BSc or equivalent experience in a relevant health related
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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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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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of the literature relating to ‘Blairism’ and to the study of legacy effects in policy analyses A high level of competency with time series modelling OR age-period- cohort modelling OR structural equation modelling A