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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About us: The Faculty of Life Sciences & Medicine is one of the largest and most successful centres for research and education in the UK. The
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of simulations extending to 2300. The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7): PROTECT (EU Horizon 2020
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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(first supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us The Faculty of Life Science & Medicine at King's College London is one of Europe's largest centres for biomedical research and teaching. The
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, Interventional Radiology and national and international collaborators. The postholder will form part of a small team using cutting-edge technologies to examine different aspects of the abscopal effect, including
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers