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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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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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hydrogen, ammonia, methanol and advanced biofuels into vessel operations while maintaining performance, safety and reliability. This PhD project will develop lifecycle and systems‑level models that track
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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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collaboration with BP. Vision We are seeking PhD student that is motivated to develop practical rapid analysis tools for BPs biomass liquefaction processes. We are looking for candidates with an interest in
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environment. Understanding the factors related to effective silencing is key for the development of novel controls. In collaboration with CRODA, JIC have developed RNA based product testing systems. Using our
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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