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diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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less have investigated optimisation of environmental objectives with detailed modelling of bidding decisions. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics
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with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View
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Deadline: 17 June 2024 Details The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation
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require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong mathematical skills. You will join the Brown Group within the Department of Chemical and Biological
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The effects of research culture on the diversity and career progression for female ethnic minority staff in academia across disciplines: a mixed-methods analysis and thematic framework
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Self-assembled sensors for bio-signalling molecules School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK/EU Students Prof Jim A Thomas Application Deadline: 01 July
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learn as part of the project. There won’t be any hard-core software development. The project would particularly suit you if you enjoyed the mathematical elements of your undergraduate course, whether that
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device and drug manufacturers. We are looking for applicants who are eager to develop new skills and apply their existing knowledge. The project requires a good level of mathematical and solid mechanics
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mathematical background and programming skills; preferably, prior experience with publications in computer vision, machine learning and deep learning. The English language requirements must also be met by