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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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. The post sits with King's College London and is managed through the School of Biomedical Engineering & Imaging Sciences. About The Role The main purpose of the post is to meet and greet patients at reception
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: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data processing will be an advantage. The opportunity to continue
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. Our researchers have expertise across MRI & precision imaging – from mathematics and computer science to physics and medicine. Patient and Public involvement is key to all our research including
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computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a
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: Candidates should hold a UK (or international equivalent) first or upper-second Bachelor’s degree. Candidates with backgrounds in electrical and electronic engineering, physics, computer science and
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applicants from across the broad field of cognitive neuroscience with an imaging-informed programme that is complementary to our existing research portfolio. The successful candidate's cognitive neuroscience
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and Physical Sciences Research Council (EPSRC