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in iPSC biology and lab management and an interest in using high content imaging to identifying phenotypes in iPSC neurons and glia derived from cells bearing Alzheimer’s disease risk variants. What We
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physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We
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of its world class research facilities, spanning microscopy, imaging, materials testing, carbon dating and much more. Funded as part of the University’s wider Digital Transformation programme, the software
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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extensive opportunities for collaborative and interdisciplinary science, working closely with experimental biologists, computational modelers, and clinical partners. You will be positioned to drive
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision