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We invite applications for a fully funded PhD studentship at UK home rates to join a Leverhulme Trust-funded project investigating how a novel mass spectrometry imaging technique, cryo-OrbiSIMS
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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how ageing affects motor unit structure and function in humans, providing a unique opportunity to work with cutting-edge neurophysiological and imaging techniques. The study will examine age-related
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undergoing weight loss, as well as knee cartilage thickness and strain using MRI, inflammatory biomarkers, and the synovial fluid microenvironment in a subgroup of individuals. It will utilise advanced imaging
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of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early
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, inflammatory biomarkers, and the synovial fluid microenvironment in a subgroup of individuals. It will utilise advanced imaging techniques, metabolic assessment, and proteomic analysis. By studying both
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Cancer Centre based in the Biodiscovery Institute. We are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during
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are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and