44 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at University of Nottingham
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holder will be based in the Plant and Crop Science Division (Sutton Bonington Campus, University of Nottingham, UK) and will work under the supervision of Dr Almudena Ortiz-Urquiza, Dr Sina Fischer, and
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We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac
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a Ph.D. (or Ph.D. nearing completion) in surface science/nanoscience, with knowledge and experience in ultrahigh vacuum techniques and technology, including surface preparation techniques. What we
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Computer Science at the University of Nottingham is seeking a talented researcher with skills and experience in soft robotics, specifically in interactive materials to augment robot and human bodies
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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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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’ 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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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