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duration: October 2025, for 3.5 years. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Physics, Chemistry, Materials Science, or related physical sciences discipline
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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(or equivalent) in Physics, Mathematics, Mechanical or Aerospace Engineering, Computer Science or a related discipline. You should be highly motivated, and would be able to work independently as
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safety? If so, this PhD opportunity is for you. The safe long-term storage of irradiated stainless steel fuel cladding is a major challenge in nuclear energy. This project will develop a novel, physics
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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following the submission of your application form. You may wish to notify your referees to submit their references promptly, as this is part of the review process. A certificate or evidence demonstrating your
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. Successful candidates should have a background in applied mathematics/theoretical physics/computer science or related discipline, alongside strong computational skills. Value: Home fees paid and stipend
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of electrolysis process in green hydrogen production can be improved therefore ultimately lower LCoH, contributing to net zero by generating zero carbon emissions and reducing reliance on fossil fuels. Cranfield is
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the two triage methods. Yorkshire Ambulance Service NHS Trust is in the process of migrating from AMPDS to NHS Pathways, which presents a unique opportunity to determine which tool is the most appropriate
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techniques and advanced sampling methods to bring a significant advancement in reducing high-fidelity runs to accelerate the engineering design, validation process and improve the robustness of the prediction