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. Outstanding written and oral communication skills are essential, along with a proven ability to work effectively within multidisciplinary teams. The candidate must also show a capacity to plan and manage
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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orchestration, with applications to Finance. This post is advertised as full-time (35 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combine a mix of
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, and building up an independent research profile you publish internationally and present papers in conferences and workshops give you independently teach courses in the BA program (proseminars), one
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New
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genetics, biostatistics and/or bioinformatics, including a strong record of publications and presentations. Similarly, proficiency in the use of programming languages, for example R or Python, is required