99 phd-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at University of Nottingham
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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, including conducting surveys and interviews, publishing articles, and supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human
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-related tasks for the study. About you – You will have a PhD or equivalent in a relevant subject area, or be about to complete you PhD and be able to manage, plan and conduct research as part of the team
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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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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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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and the manager of your substantive post, if you are already undertaking a secondment role. The Leverhulme Trust’s funding regulations mean that individuals will have needed to have submitted their PhD
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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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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