498 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions in United Kingdom
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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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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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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be made online . Under programme name, select * Mechanical and Manufacturing Engineering’* Please quote the advertised reference number: * FP-LJ-MTC/26* in your application. Applications must include a
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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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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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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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radiative balance, but the physical mechanisms governing their formation particularly in the near-field region immediately downstream of aircraft engines remain poorly characterised. This fully funded PhD
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Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent hardware. Through collaborations with the Aerospace Integration
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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