139 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at University of Oxford
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We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical
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and manipulation and a knowledge of relevant statistical methods. You will possess exceptional organisational skills, an ability to work efficiently with collaborators and to supervise and educate
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to independently perform complex genetic
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with
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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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and method development, is highly beneficial. You will be expected to manage your own academic research and administrative activities. This involves project management, to co-ordinate multiple aspects