42 professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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protein metabolism in response to the prehabilitation intervention, although other molecular biology techniques (e.g., ELISA, RT-PCR, Western Blotting) will also be performed. There may also be need for you
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patients with inflammatory arthritis. About the team- You will join an established team, led by Professor Abhishek, whose main areas of research interest include pharmacoepidemiology, rheumatoid arthritis
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’ to complete your details. Please upload a copy of your CV with the applications. Please contact Professor Todd Landman (todd.landman@nottingham.ac.uk ) if you have further questions about this role
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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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/ knowledge of lung cancer/ publications or poster/ oral presentations in lung cancer research would be desirable. Applicants should also have a PhD or equivalent in computer science, mathematics, statistics
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The School of Medicine, University of Nottingham is looking to appoint a Research Associate/Fellow to join the Digital Cancer Screening Research Group in Translational Medical Sciences. This role
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Lindsay), and the University of Nottingham (Prof. Victoria Chapman, Dr Federico Dajas-Bailador, and Dr Kim Chisholm). The post will be based in the School of Life Sciences at the University of Nottingham
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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and