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James Entry requirements: A 2:1 honours degree or equivalent international qualification, or a master’s degree in relevant subject (e.g., human nutrition, sports and exercise science/nutrition, human
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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) publication at top tier ranked international conferences and journals in Computer Science. Person specification: MSc in Computer Science or AI (minimum of 2:1 degree or higher) UK home student status holder
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not sufficiently understood. This involves complex physics at the interface of plasma physics, shock physics, material science and thermodynamics. The objective of this project is the computational
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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and will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Ivan Rungger, National Physics
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multidisciplinary research team within the School of Electrical, Electronic and Mechanical Engineering. SMG is known for its work in computational mechanics, fatigue, fracture, and advanced materials modeling
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embedded in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Engineering, Computer Science, Health Economics, Arts, Humanities and Social Sciences to develop
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select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-3* under the ‘Finance’ section of the application. To avoid
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard