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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in
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Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
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The Babraham Institute is a charity which is world renowned for its research in life sciences to enhance lives and improve wellbeing. We are seeking an enthusiastic Research Assistant with some
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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DEPARTMENT OF HEALTH TECHNOLOGY AND INFORMATICS Research Assistant Professor in Medical Laboratory Science / Biomedical Science / Medical Imaging and Radiation Science / Medical Physics / Medical
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About the role We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R