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of producing academic journal articles is essential. You will likely have at least a Masters degree in Health Data Science, Data Science, Computer Science, Maths/Engineering, or a Medical Sciences subject, and
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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Delivery Location: King’s College London, Institute of Pharmaceutical Science Department: Medicines Development Responsible to: Principal Investigator, Medicines Governance Programme Responsible for: Quality
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About you This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group, part of the Oxford Robotics Institute and the Department of Engineering Science, University
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient