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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 14 May 2026 Project type: Collaborative PhD studentship (joint Academic-Industry
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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engineering knowledge. Funding support and Further Information Please discuss with Prof. Tao Yang Tao.Yang@nottingham.ac.uk for more details. View All Vacancies
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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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funding to enrol on this PhD. For students from China, you are encouraged to apply in partnership with the China Scholarship Council - more information can be found here: https://www.nottingham.ac.uk