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to the research project “Sustainable Wearable Edge InTelligence (SWEET)”. The successful candidate will develop theoretical concepts in transprecise computing in the application domain of health analytics using
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programme in the UK from any other sources. Meet the English language requirement of the UK HEI. Have a background or a proven interest in AI foundations and its application in civil and environmental
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Researcher; Not currently in receipt of financial support or funding towards any other programme in the UK from any other sources; Meet the English language requirement of the UK HEI; Have a background or a
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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this role, you will contribute to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with
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to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with project partners, applying state-of-the-art
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS