69 phd-position-in-database-modeling Fellowship positions at University of Nottingham
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, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. - To establish a national reputation and regularly disseminate and explain
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Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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mixed methods research. This 1-year position will work with the PI and focus on a series of digital score research experiments investigating human-AI/ human-robot interaction. A particular focus is using
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of Nottingham. This is a postdoctoral research position on the EmpaMEG project, an MRC funded 5-year project exploring the neural basis of empathy and decision-making in antisocial populations. The project
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project