54 parallel-and-distributed-computing-phd Fellowship research jobs at University of Nottingham
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colleagues and external partners (academic and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD
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governing impermeability in Gram-negative bacteria. This large-scale, multidisciplinary programme brings together investigators at the University of Nottingham, University of Birmingham, Imperial College
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EPSRCPostdoctoral Pathway Prize 2026 The EPSRC Postdoctoral Pathway Prize (formerly Doctoral Prize) provides opportunities for the most outstanding EPSRC-funded PhD students to receive up to 24
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology or Organizational Behavior; Excellent oral and written communication
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their skills outside PhD study, those who currently hold a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such
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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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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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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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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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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