47 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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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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, 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
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skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division
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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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Glasgow. Candidates should have a PhD submitted or awarded in chemistry, pharmaceutics or a related discipline. Expertise in working with in situ gelling materials or cytocompatible polymers, as
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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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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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for generating data for associated research publications and other forms of dissemination. The majority of the analytic work will be stable-isotope tracer-based mass-spectrometry to assess changes in muscle
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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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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