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(with not less than 6.0 in any component), or equivalent. How to Apply Please apply through the University of Sheffield Postgraduate Application System ; select CFC001 as the programme for which you are
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at the Department of Computer Science, the University of Sheffield. Previously, he was a Senior Research Associate in Data Science in Mobile Health at King’s College London. Dr. Sun's research
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A fully-funded PhD Studentship is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid
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this understanding and identify the most effective and cost-effective prevention strategies that should be prioritised by decision-makers. Generously funded by Wellcome and the University of Sheffield, this four-year
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through the University of Sheffield on-line submission system and select code MEC-04-Krynkin https://www.sheffield.ac.uk/arpform/login.app?code=EPSRC Interested candidates are strongly encouraged to contact
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PhD in Social Research Sheffield Methods Institute Social Sciences Research Programme Funding Available Students Worldwide Details The Sheffield Methods Institute (SMI) at the University
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the University of Sheffield on-line submission system and select code MEC-01-Majewski. https://www.sheffield.ac.uk/arpform/login.app?code=EPSRC Interested candidates are strongly encouraged to contact the project
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fluid mechanics using in-house high-fidelity numerical software and high-performance computing - Turbulence (modelling and control) and transition to turbulence - Dynamical system theory, flow
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then be exploited to develop new control techniques that are applicable in practice. During this project, you will gain significant experience in: - Computational fluid mechanics using in-house high
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into account the dynamical nature of the ET process and that one therefore has to use equilibrium information to infer something about the intermediate non-equilibrium processes. In this project we aim