17 post-doc-image-engineering-computer-vision Postdoctoral positions at King's College London
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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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Job id: 121705. Salary: £45,497 per annum inclusive of London Weighting Allowance. Posted: 01 August 2025. Closing date: 14 August 2025. Business unit: Faculty of Life Sciences & Medicine
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London, https://www.kcl.ac.uk/bmeis , working
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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
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Job id: 114265. Salary: £44,355 - £45,497 per annum (Including London Weighting). Posted: 02 May 2025. Closing date: 01 June 2025. Business unit: Faculty of Life Sciences & Medicine. Department
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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and imaging, and collaborators in the O’Garra Lab and Ciccarelli Lab at the Francis Crick Institute, for expertise in genomics technologies and informatics analysis. World-class facilities and training
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
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Job id: 115685. Salary: £44,355 - £47,882 per annum, including London Weighting Allowance). Posted: 21 May 2025. Closing date: 18 June 2025. Business unit: Natural, Mathematical & Engineering Sci
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, Science and Technology Studies (completed, or to be completed before post start date), or a cognate field. 2. Experience of qualitative archival or interview-based research methods in a relevant field