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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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of Computational Solid Dynamics Building upon very recent work made by the supervisory team, this FULLY FUNDED 4-year PhD project will investigate challenging aspects such as: (1) exploration of a truly “n” multi
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. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately
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Cranfield University invites applications for a PhD funded by Thames Water through the Ofwat Innovation Fund. The studentship covers full Home tuition fees plus a tax free stipend of £24,000 per
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to Research Associate (Grade 7) upon the award of PhD. If a PhD is not held, the appointment will be made at Research Assistant level. Scientific enquiries apart from the formal application should be directed
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is characterised by complex and highly dynamic turbulent flows that define the performance and design of renewable energy systems and their infrastructure. This PhD project aims to enhance
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to Research Associate (Grade 7) upon the award of PhD. If a PhD is not held, the appointment will be made at Research Assistant level. Scientific enquiries apart from the formal application should be directed
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: RISE: Restoring Intertidal Systems using Electronics. Coastal
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into car cabins (to reduce the exposure of occupants) and the regions where pollutants accumulate (to be avoided by pedestrians and cyclists) need to be minimised. The PhD objective is to study the effects
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission