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welcome motivated students with a strong background in engineering or science, such as physics, mathematics, computer science, or related disciplines. Skills in mathematics, computational modelling
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emphasis on engineering realism. The ideal candidate will have: A strong background in aerodynamics, fluid mechanics, or turbomachinery Experience with RANS CFD (commercial or in-house solvers) Strong
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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online via the above 'Apply' button. Under Campus, please select *Loughborough* and select Programme *Mechanical and Manufacturing Engineering*. Please quote the advertised reference number ‘SF-ST-2026’ in
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. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester Application deadline Middle of January for the following winter semester starting on 1 October Please check our
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sintering technology to ensure high density. The aim of the PhD work is to fabricate a solid-state Li metal battery with a performance at par with the state-of-the-art liquid electrolyte Li-ion battery
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are welcome to apply but will be required to cover the difference between Home and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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for admission to the Doctoral programme at the Department of Physics . The candidate must also have excellent written and verbal English communication skills. Such evidence might be represented by the results