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of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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1st class would be highly desirable. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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Novel topologies and technologies for advanced reluctance machines Key information Lead supervisors: Dr Pedram Asef Application deadline: 15 June 2024 Project start date: 01 October 2024 Project duration: 4 years Studentship funding: Full Home/UK tuition fees (currently £6,035/year) and...
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. Supervisors: Dr Ben Wetenhall Eligibility criteria Applicants should have a minimum of an Upper Second Class Honours degree in an Engineering subject, Physics or Applied Mathematics with a good understanding of
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critical areas. Eligibility Candidates must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum
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diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and
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must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK
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dynamical systems picture of wall-bounded turbulence. The problem will be tackled with a combination of state-of-the-art advanced mathematical tools and numerical simulations, and the new understanding