87 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at KINGS COLLEGE LONDON
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About us This post represents a unique opportunity to join leaders from the AIMS-2-TRIALS research consortium (https://aims-2-trials.eu ) – the world’s largest autism research consortium
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, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
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. Experience conducting research on at least one of the following: war studies, military history, strategic thought, political theory, just war theory, slavery studies Working knowledge of major datasets and
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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Exercise. The Faculty’s students enjoy unrivalled learning opportunities, supported by strong partnerships with industry and healthcare organisations. At both undergraduate and postgraduate level, students
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Date: 19-Jan-2026 Contact Person: Lucy van de Wiel Contact Details: Lucy.vandewiel@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405487/post-doctoral-resea
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to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and
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Rehan, Research Fellow Contact Details: zunera.2.khan@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405332/clinical-research-f… Requirements Additional Information
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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 . There is
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per annum inclusive of London Weighting Allowance Job ID: 134225 Close Date: 04-Jan-2026 Contact Person: Professor Miraz Rahman Contact Details: k.miraz.rahman@kcl.ac.uk Where to apply Website https