421 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Oxford in United Kingdom
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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their host galaxies by overcoming the glare of the AGN that overwhelms the host galaxy’s light. The successful candidate will primarily analyse data from the James Webb Space Telescope. In addition, they will
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the group, ensuring that information is communicated, logged and up-to-date. The post-holder will be responsible for recruitment and will be actively involved in all aspects of data collection, including
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Specification for full details of this role by clicking the 'apply' button. Further Information For further information please contact Professor Stacey Hynd, e-mail: s.hynd@exeter.ac.uk . The closing date
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aligned with the project aims, and critically analysing, interpreting and presenting experimental data with scientific rigour and reproducibility. You will manage your own academic research and
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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diligence research in a motivating higher education setting. Finding, evaluating, and communicating information clearly and effectively is the essence of this role. We support a diverse set of fundraising
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational