12 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral research jobs at King's College London
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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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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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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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Campus. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus on mentoring and career development. The School hosts the British Heart
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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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health:- The Institute of Pharmaceutical Science at King’s College London is organised into Departments that work together towards the development of toxicological and forensic science; the discovery
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present; it then offers students pathways to study every continent through their second and third years. Our MA provision is similarly broad, developing students’ expertise in medieval, early modern and