95 parallel-and-distributed-computing-phd Fellowship positions at University of Nottingham
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. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses
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and synthesise current knowledge and resources, create appropriate assessment and signposting frameworks and identify specific resource gaps and the routes to their development. You will hold a PhD
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will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near
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genes that we have already identified along with their resultant phenotype. Applicants must be highly motivated and self-driven, with a PhD in a relevant plant sciences area (experience in working with
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Science Institute and the Nano and Micro scale research Centre. You should have or working towards a PhD in Engineering, optics or physics. Knowledge or experience on the use of Spectra Physics tsunami
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will undertake original research of international excellence. It will be key that you prepare your work for publication in leading journals and contribute to its distribution at national and
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the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History, Geography, or a related area. Experience of
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of precision livestock technology data and epigenomic data and communication of results through scientific publications and presentations at conferences. The applicant must have a PhD (or be very close to
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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, with the aim of the collective outputs generated to make significant positive impacts for the farming and veterinary communities. The applicant must have a PhD, preferably in veterinary epidemiology