51 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"UCL" Fellowship positions at University of Nottingham
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An opportunity has arisen for a Research Assistant/Associate/Fellow funded by the UKRI to join our team based at the Biodiscovery Institute and support the principal investigator Professor Neil
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The Sir Peter Mansfield Imaging Centre, University of Nottingham, UK is seeking applications for the position of Research Associate/Fellow - OPM MEG Technology to support newly funded projects
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strategic National Research & Innovation Centre that brings together the UK chemicals industry, academic researchers, and policy makers to advance technology solutions that strengthen UK chemical capability
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) and is available as a fixed term contract until 01/02/2027, with the possibility for extension. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now
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processing of analytical data would be desirable. The person appointed will join a multidisciplinary team working in Chemistry and Engineering, led by Professor Mike George. We value diversity and are
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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editorial roles, including associate editor of the Journal of Vocational Behavior and currently the Journal of Cross-Cultural Psychology. A recipient of a national top talent program, Professor Guan is
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to understand plant performance and climate feedback mechanisms in the Middle Jurassic. The project will use an experimental framework, to link plant morphology and chemistry to measurements of ecophysiological
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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data