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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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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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presenting experimental research focused on characterising the evolution of immune evasion mechanisms in SARS-CoV-2. This work will concentrate on viruses isolated from immunocompromised individuals with long
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manager and may include leading or teaching on a module, and supervising dissertations and student projects. Additionally, there is an expectation that you will develop independent research, including
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training and development is actively supported at King’s through the action plan for the Concordat for Research Staff. About the role This is an exciting opportunity for a postdoctoral research associate to
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sampling methods, digital phenotyping, or related disciplines. In your role, you will lead on the development and piloting of Ecological Momentary Assessment (EMA) items tailored for young people, to better
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-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians
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to the development of digital enablers for authentic real-time performance data and responsible decision-making, by putting user needs at the centre. The successful candidate is expected to: shape and engage in
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to develop and implement the academic, theoretical, and policy-applied work components of the project. The PDRA position has three primary work packages: Work Package 1 (Case Study Fieldwork): The PDRA will be
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. Website development and administration skills. 5. Experience of research in either France or Ireland. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and