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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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. 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
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at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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stress resilience. Applicants must be highly motivated, with a PhD in plant biology or a related area. PhD students about to submit their thesis in a relevant area will be considered. The successful
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genome-wide profiling of DNA, providing a true picture of DNA methylation complexity in IPF. Integration with spatial gene expression will provide an indication of the distinct functional relevance of DNA
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving