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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
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this PhD project to: e.j.street@reading.ac.uk by the stated application deadline. Please state your preference regarding full or part-time study. To apply click Apply for a Programme and create your
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urban area of England (the exact location will be discussed once the post begins). The post also comes with dedicated funding for the postholder to undertake a part-time MPhil/PhD in Social Sciences in
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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scenarios such as shock loading, poses a significant challenge in engineering, as existing models often fail to represent the complex interplay of plastic deformation, strain localisation, and void formation
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experimental work in this area. The combination of experimental and computational expertise will illuminate the fundamental chemistry occurring at a molecular level, inform extractant design, and yield
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rate; international applicants must cover the difference between home and overseas fees The Department of Materials Science and Metallurgy at the University of Cambridge invites applications for a PhD
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II CDT) at the University of Warwick, where you’ll be immersed in a community dedicated to computational science innovation. With expert training in atomistic simulation, machine learning, and high