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Manufacturing processed NAB material and any post-processing requirements to match and/or exceed the properties of traditional cast/heat-treated NAB. You will have the opportunity to develop a Digital
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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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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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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr
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Start date: 1 October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris
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. For further information, please contact sharmila.sumsurooah@nottingham.ac.uk with your CV and transcript. View All Vacancies
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environment. How to apply: Applicants are welcome to contact Professor Yupeng (Jack) Wu Yupeng.Wu@nottingham.ac.uk directly for more information about the projects. Application will need to email your CV
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successful, invited to make a formal application. Do not submit your application via the My Nottingham platform without having contacted our team first. Please contact, Dr Xin Dong, for further information