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embedded in the School of Biomedical Engineering & Imaging Sciences, a vibrant community of engineering designing and translating technology into the clinical. The project will follow the King’s College
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to drive forward a collaborative programme of research between the Divisions of Pharmacy and Optometry, Cardiovascular Sciences and Cancer Sciences. The post will be tenable on a fixed term basis until
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contribute to the process of securing funds through bids and growing reputation. About You The post holder will provide overall: analysis of large-scale short-read whole genome sequencing datasets and long
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. The work will be at the intersection of computer vision and data science in translation medicine. The post holder will also use 3D+time digital models of the heart for classification, association and
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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related field* Experience with multi-modal medical image registration Computer programming skills (e.g., Matlab, Python, C++) Strong academic record, evidenced by publications in peer-reviewed journals and
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic
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numerate discipline (preferably Astronomy, Physics, Computer Science, Computer Engineering or related field). Candidates are expected to be familiar with the acquisition and reduction of data from large
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processor and the forthcoming CHERI for RISC-V standard, has the potential to transform computer security through strong software vulnerability motivation. This post will support and enable the success