12 bayesian-estimation Postdoctoral positions at University of Oxford in United Kingdom
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A postdoctoral research position is available in the area of computer modelling of new materials for next-generation photovoltaics within the group of Professor Saiful Islam in the Department
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 2 years with a
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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to Philip.torr@eng.ox.ac.uk For more information about working
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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Antimicrobial resistance (AMR) poses a growing global health threat, with projections estimating up to 10 million deaths annually from drug-resistant infections by 2050. AMR genes can move between
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Prevention Initiative (COPI). The successful applicant will develop the simulation model capabilities using the PRIMEtime structure to estimate the impacts of the suite of interventions being implemented in