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the SMARTbiomed Collaboration. The primary focus of this post will be the development of computational pipelines for the automated extraction and discovery of image-derived phenotypes (IDPs) across
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frameworks is essential. Experience of working with UK Biobank imaging or similar large-scale population would be desirable. Diversity Committed to equality and valuing diversity Application Process You will
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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& Medicine. Department: Res Dept of Cancer Imaging. Contact details:Dr Thomas Booth. thomas.booth@kcl.ac.uk Location: St Thomas Campus. Category: Research. About Us The appointee will join the School
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
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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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; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science
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laboratory-scale R&D on PCM-integrated heat exchangers, develop modelling tools (e.g., COMSOL, ANSYS, TRNSYS, MATLAB) for thermal and system-level optimisation, and support prototype fabrication
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two-photon imaging systems, and working on a research project funded by the Wellcome Trust to investigate fronto-sensory feedback microcircuits in the brain and their relevance to behavioural