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About Us The Research Department of Digital Twins for Healthcare at King’s College London is a multidisciplinary hub within the School of Biomedical Engineering & Imaging Sciences, dedicated
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biology in atherosclerosis. The project will combine patient-derived endothelial colony-forming cells with advanced coronary artery imaging from patients at Barts Health NHS Trust to identify individuals
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million-pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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into the regulation and function of diverse cellular processes. To this end, we use Vaccinia virus as a model together with quantitative imaging and biochemical approaches to study a variety of cellular processes
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derived fragments from fresh human tissues to test the effect of mutations · Prepare human samples for spatial transcriptomics and high-dimensional imaging experiments · Run CRISPR-based perturbation assays
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mentoring junior researchers and students. Essential experience includes tissue sample harvesting and preparation, in situ gene and/or protein detection and quantification, advanced microscopy and imaging
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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Schwann cells, myelination assays, or co-culture systems, and familiarity with advanced imaging or quantitative image analysis will be desirable for the role. About the School/Department/Institute/Project