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Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate) Overview This PhD project intends to leverage the power of engineering biology to
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4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in thermal batteries, and to derive new understanding to guide
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DoS: Dr Eve Kelland ([email protected] ) 2nd Supervisor: Professor David Parkinson ([email protected] ) Applications are invited for a three-yearPhD studentship. The studentship will start on 1st October 2024. Project Description Multiple Sclerosis (MS) is a complex...
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA
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basis. There is no stipend associated with this award. How to apply All applications should be made online. Under programme name, select the School of Sport, Exercise and Health Sciences. Please quote
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water footprints. The Wolfson School of Mechanical, Electrical, and Manufacturing Engineering at Loughborough University is one of the largest engineering schools in the UK. Our vision is to provide world
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developing Generation IV nuclear reactors. With the complication of Salts chemistry and the extreme conditions to operate, the material degradation behaviour when the components are subject to mechanical
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effective tool for providing an improved understanding of the underpinning science of precipitation processes and optimising the reactor design and safe operating conditions to produce crystals with a
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, resulting in significant costs to the UK taxpayer to ensure wastes are safely stored. This is an exciting interdisciplinary project, combining chemistry and civil engineering with soil mechanics and
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an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Artificial Intelligence, Computer Vision