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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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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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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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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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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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, 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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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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such as, programming languages (i.e. Python), knowledge of the handling of digital imaging and communications in medicine (DICOM) and some experience with picture archiving and communication systems (PACS
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We are seeking a highly motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with