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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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, 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
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gammopathy of undetermined significance (MGUS). However, only 1% of patients with MGUS will develop myeloma every year. Despite advances in treatments, myeloma continues to be associated with significant
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molecular imaging Team with access to both cutting-edge instrumentation for preclinical imaging and world-renowned expertise. Together, we are developing next-generation whole-body imaging tools for cancer
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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
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. This PhD project aims to develop efficient, reasoning-enhanced Vision–Language Models tailored to multimodal medical data. The main aim is to investigate how explicit clinical reasoning can be embedded
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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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early detection and predict adverse pregnancy outcomes. You will develop and validate a data-driven clinical decision support tool in collaboration with clinicians and industry partners. Pre-eclampsia is