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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
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contributing to safer, more efficient next-generation flight. Required qualifications: We are looking for candidates with: A strong background in Mechanical, Materials, or Aerospace Engineering. Experience in
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Research theme: Textiles How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the
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specification: • BEng/MEng in Engineering discipline with appropriate energy and data modules, particularly Chemical Engineering, Mechanical Engineering, Electrical Engineering, Energy Engineering (minimum of 2:1
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alto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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university tuition fees. How to Apply: All applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Mechanical and Manufacturing Engineering’ under ‘Programme’. Please
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accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the Department of Mechanical Engineering at the University of Sheffield, and embark on a transformative PhD
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering