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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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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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Gibbons, working in close collaboration with Dr Lisa Story and the Perinatal Imaging team. The post will be based at the St Thomas’ Hospital campus and the postholder will be responsible for pregnant
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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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Role We are seeking a highly motivated and experienced computer scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale
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About Us We are looking for an enthusiastic medical physics technologist to join our PET imaging team at King’s College London (KCL) & Guy’s and St Thomas’ (GSTT) PET Centre. The Centre is part of
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imaging studies. As part of the UK National Total Body PET Imaging Platform (npip.org.uk), two identical Siemens Total Body PET Scanners have recently been installed at St Thomas’ to complement further PET
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desired skills include experience with human and animal models, tissue culture, expression analysis, molecular biology, advanced imaging of cell migration. Postholder will be responsible for maintaining
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that benefit everyone. The successful candidate will have a good understanding of image processing, multi-modal image registration, and ultrasound imaging. The post involves the development of software for fast
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic