469 web-development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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design cutting‑edge, privacy‑preserving solutions that enhance independence and dignity for people living with mild dementia? This project develops a new, privacy first approach to reduce wandering risks
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opportunity is based within the Resilience Engineering Research Group at Faculty of Engineering which conducts cutting edge research into developing modelling techniques to predict ways of improving the design
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and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. Entry requirements A minimum of a 2:1 first degree in a relevant
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vegetation-enhanced performance will have significant application. Working in the University’s world class COAST Laboratory, you will develop and validate physical modelling techniques to represent vegetation
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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support
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, clinically translatable biomaterials. Animal by-products from the food industry are an abundant yet largely untapped source of collagen and extracellular matrix (ECM), offering a unique opportunity to develop
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can solve. While conventional electronic information processors are exceedingly well-developed, their capabilities are being rapidly outstripped by the rapid rise of AI: both the training and inference
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systems, and digital twin technologies. The project will contribute to the development of intelligent collaborative machines for next-generation manufacturing systems. What will you be doing? Investigating