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optimisation of environmental objectives with detailed modelling of bidding decisions. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong
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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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analysis to support quantitative decision making. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong mathematical skills. You will join the
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of this technology by 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
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should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding and CFD
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or responsiveness of vaccine supplies, but how do we decide whether such investments are ‘worth it’? This PhD will use mathematical and economic modelling within a multidisciplinary project working across
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., artificial intelligence, computer science and data science) or its international equivalent to provide evidence for sufficient computing and mathematical background. Solid programming experience and
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a novel and impactful approach to record and detect subtle changes in bee behaviour. The work will include deploying mathematical tools, such as Bayesian inference, onto hardware to allow real-time 3D