614 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "Univ" positions at University of Sheffield
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these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the feasibility and acceptability
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under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
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may also be considered. Candidates should be aware of and meet the entry requirements for the university hosting the PhD studentship. Funding Notes The programme is four years and starts in September
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previous experience of using CFD would be useful but not essential. Funding Notes The programme is four years and starts in September 2026. Funding includes full UK fees, tax-free stipend (2025/2026 stipend
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& Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing
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see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://sheffield.ac.uk/postgraduate/phd
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System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language
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pathways interact to control germination. This project will provide training in bacterial physiology, infection biology, quantitative microscopy and computational data analysis — a diverse skill set that
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the research life of the University. PGR students undertake their own programme of research, supervised by an academic team, and also contribute to the wider research culture, output and impact of
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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods