622 developer-"https:" "https:" "https:" "European Commission" PhD positions in United Kingdom
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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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, 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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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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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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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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Turbulence detection in blood flow using 4D MRI Flow disturbances in blood flow are vital sign of cardiovascular diseases, suggesting a development of turbulent flow due to abnormal heart movement
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adhesion to human skin in AD and to exploit this knowledge to develop targeted topical strategies that block bacterial attachment without driving antimicrobial resistance. We have previously demonstrated
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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project