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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, integrative
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of collegiality Desirable criteria Extensive experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation
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using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights into human biology and may in the future lead to improved
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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in sustainability, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London, https://www.kcl.ac.uk/bmeis , working