650 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
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transitions. Subject areas Business and management Economics Politics and Government Social Science and Social Care Start date: 1/5/2026 Deadline: 19/1/2026 Duration: 36 months Funding: Funded Funding towards
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sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please
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support for conferences, training, or public involvement activities, subject to approval. Details of course fees are available here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-psychiatry
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Tracey Concrete, a market leader in precast concrete manufacturing employing innovative
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This 3.5 year PhD project is fully funded by the Department of Chemistry (DTP). Home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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policy impact. We are looking for a highly talented and dedicated PhD student with a 1st class or 2:1 degree in a relevant social sciences discipline (e.g. sociology, geography or economics). An MSc degree
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, particularly across the continent of Africa. Together, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability.
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and effectively included within hazard management planning. Eligibility criteria: 1st class or 2:1 degree in the field of the geosciences, geography, environmental sciences or related disciplines
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frameworks where all degradation modes are quantified – this is currently not the case which this EngD will evaluate in close partnership with EPRI and Julich. The UK currently does not host any fusion
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow