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failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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WIN@FMRIB, John Radcliffe Hospital, Oxford, OX3 9DU We are looking to hire postdoc with a background in MRI physics/engineering, between whom we will gain experience in: Biophysical modelling Bloch
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Engineering, Manufacturing, or Metallurgy. Essential Application/interview Experience with Finite Element Analysis (for example Abaqus, ANSYS) for mechanical or thermal simulations. Essential Application
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researchers working on all aspects of software engineering with a particular strength in AI for software engineering, as well as software testing and quality assurance. About The Role AI has emerged as a
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Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
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to simulate and validate performance under space-like conditions. Contribute to technical reporting, academic publications, and industrial engagement. Candidates should be educated to PhD level (or near
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the Trizzino lab based at Imperial College London. The postholder will work closely with Prof Karen Liu and Dr Marco Trizzino and with techs, postdocs and PhD students within the Liu and Trizzino labs. Key
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical