38 post-doc-image-processing PhD scholarships at University of Nottingham in United Kingdom
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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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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
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rely on unsustainable materials and on carbon-intensive manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next
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, GCD, EIS, long-cycle testing) and analysis techniques. 3). Previous involvement in research projects (industry or academic) related to welding, casting, or innovative manufacturing processes. 4). A
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented