460 computational-physics "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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for registration with the RCVS or be in the final stages of a veterinary degree programme leading to RCVS eligibility. Informal enquiries may be addressed to the principal supervisor: vicky.strong1@nottingham.ac.uk
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The School of Computer Science are seeking an organised, creative and enthusiastic team member to join our
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall theme
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
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to differing needs and deadlines. Relevant experience of finance systems and working with budgets. Demonstrable evidence of computing skills including Microsoft Office (especially Word, Excel, PowerPoint
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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underlying physics while enabling real‑time or near‑real‑time predictions. You will work with experts in engineering, CFD, data-driven fluid dynamics and computer science. This PhD provides an excellent