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by Manchester United FC. This approach to real-time imaging will be integrated into an AI imaging analytics package to promote automatic injury detection and aid player diagnosis by the partner medical
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Desirable criteria 1. Experience in both image and MRS analysis, including development of novel analytical pipelines to support data processing, at scale. 2. Experience of developing MRI/MRS
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Key Information Salary: Dependent on relevant Postdoctoral experience. Future progression is based on annual performance review. If the candidate has not yet been awarded their PhD, the starting
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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clinical trial related activities, including patient recruitment, supervision of imaging and all patient hospital attendances 2. with necessary training, processing brain imaging data from all participating
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research developments. This role will focus exactly on building such a model foundation, ie. training a large vision (medical imaging) and language (radiological reports) model that allows us not only to
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): Essential: PhD (or equivalent experience) in Computer vision or a closely related discipline Significant postdoctoral research experience in cardiac image analysis Knowledge and experience (will be assessed
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radiobiology, computational modelling, medical physics or other relevant field (or pending results) - (Grade 6 only) Highly computer literate with coding expertise, e.g. MATLAB, Python Expertise in dosimetry
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the facility’s capabilities where appropriate. About you It is essential that you hold, or be close to completion of, a PhD/D.Phil in a relevant subject, e.g. physics, biophysics, medical/biomedical imaging
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of Healthcare Engineering and the School of Biomedical Engineering and Imaging Sciences at King’s College London. We bring together leading academics within medicine, engineering and medical physics, along with