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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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electronics, computer science, experimental psychology, experimental linguistics or a language related technology. This is a hands-on practical role, and the successful candidate must possess the technical
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
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Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and
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high-level training at the intersection of materials science, computational mechanics, and data-driven modelling, preparing graduates for careers in nuclear engineering, advanced energy systems, and high
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Job description: We have an exciting opportunity at the University of Sheffield for someone passionate about promoting inclusivity in neurotechnology. If you want to use your skills in computational
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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in business, engineering, and computing. We are seeking outstanding academics to join us at Associate Professor or Professor level, to play a leading role in shaping and advancing our learning and