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gross salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus
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academics, 60 post-doctoral researchers and over 80 PhD students, will be made available for this project. The university actively supports equality, diversity and inclusion and encourages applications from
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£20m of funding in the last three years. This 5000m2 institute with state-of-the-art facilities for research into electrification technologies, hosting 21 academics, 60 post-doctoral researchers and
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—quality post-graduate research development and training environment of the University of Nottingham. This PhD scholarship is offered in collaboration with the UKRI funded transdisciplinary hub
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to national and international conferences. Working as part of a team of experienced researchers including Dr Rachel Nicks (PI) and Prof Stephen Coombes (Co-I) and a post-doctoral researcher focussed
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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
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Neil Nixon, Clinical Associate Professor in Psychiatry, University of Nottingham, neil.nixon@nottingham.ac.uk To apply, candidates should send their CV and a short cover letter (<1000 words) outlining
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national depending on suitability. Interested candidates in the areas of Engineering, Physics, Biology or Medicine please contact fernando.perez-cota@nottingham.ac.uk or richard.lea@nottingham.ac.uk by
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, electrochemical characterisation, or related fields. A strong degree (first or high upper second) in Materials Science, Mechanical Engineering, Chemical Engineering, Physics, or a related discipline is preferred