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Job Description You are invited to apply for a 3-year PhD position starting in mid-2025 within the field of bio-mechanics and topology optimization at the Department of Civil and Mechanical
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meet the minimum English language requirements . How to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert
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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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together cover a wide variety of electronic tasks, including low-noise analog circuits, high-speed digital systems, precision electro-mechanical systems, sensors and control systems, optoelectronics and
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enhancement for the duration of the studentship plus university tuition fees at the UK rate. How to Apply Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing
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Computer Science, Economics, FinTech and Financial Innovation, Mathematics, or a related field from the University of Cape Town. Strong background in game theory, mechanism design, microeconomics, or cryptographic
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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of vehicles and on the efficiency of machinery because of the energy losses in boundary layers. It is therefore desirable to predict the occurrence of transition to turbulence and suppress the unstable
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 21 days ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties