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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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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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of £3,000. Starting date will be preferably on 1st October 2025. Home students are strongly encouraged to apply. Please send your CV (including publications if apply) and transcripts to Dr Ke Li (ke.li2
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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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outstanding facilities and works in partnership with leading industrial partners. For further information or to apply, please send Dr Sanliang Ling (Email: Sanliang.Ling@nottingham.ac.uk ) a covering letter, CV