370 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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The Oxford Department of International Development (ODID) is seeking to recruit a Comparative Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a
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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a research team funded by a European Research Council (ERC) Advanced Grant, Choosing Islamic
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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About us The researcher will join the Human-Centred Computing (HCC) group at King’s at the Department of Informatics, which provides a supportive and collaborative environment and an exciting mix
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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Hours of work: Full-time Tenure: Fixed term for 1 year We are seeking to appoint two outstanding researchers to join an ambitious, multidisciplinary research programme focused on the discovery
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper