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hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant technical skills. Prior experience with medical imaging data and Python coding is
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technical skills. Prior experience with medical imaging data and Python coding is required. If you are interested about this position, please click 'apply now' and submit you application. In case you have any
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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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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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humans, providing a unique opportunity to work with cutting-edge neurophysiological and imaging techniques. The study will examine age-related differences in motor unit behaviour across multiple muscles
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motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with complex biomolecular structures. You
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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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opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role will be to use and develop opto-acoustic