640 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " PhD positions in United Kingdom
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funded. International applicants must demonstrate in their application how they will fund shortfall in fees by other means (personal funds,l or other grant); International applicants can visit https
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workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in
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backgrounds in engineering, applied mathematics, physics, computer science, or data science, and can be tailored to your interests, whether you prefer theory, modelling, or applied research. You will analyse
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to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Essential: • Degree in engineering, physical sciences
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace or mechanical engineering background. Experience of computational fluid dynamics
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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undergraduate degree (or international equivalent) in Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, Computer Science, or a related field. A master's
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environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs