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About the project Rising ultraviolet (UV) radiation levels present a growing challenge for both human health and the environment. While sunscreens play a critical role in preventing skin cancer, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD...
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workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in
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recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an
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, logistics and operations management, business analytics, Artificial Intelligence, computer science, or a related field would be particularly suitable. We would especially welcome candidates with an interest
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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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ignition products, with future opportunities expected in data storage devices and electrical contacts to supply the demand for higher computational power for AI driven technologies. However, the limited
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upper second-class undergraduate degree in any of Engineering, Materials Science, Computer Science, Physics, Mathematics. Excellent English written and spoken communication skills. It is desirable
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Director of Studies (DoS): Dr. Yu Yao (yu.yao@plymouth.ac.uk , tel.: +447756140668) 2rd Supervisor: Dr. Maozhou Meng (maozhou.meng@plymouth.ac.uk ) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project...
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD...