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highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in
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across work packages. You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and models, and design new models that improve our understanding
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of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging
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variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility...
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer...
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physiological and blood-based markers linked to left atrial thrombogenicity in AF, supporting more personalised stroke prevention. Project plan Phase 1: Cohort discovery in PREFER-CMR (n ~2,000): Using the PREFER
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channel research including biophysical, physiologial and pathophysiological knowledge to work our established research programmes. You should also be able to demonstrate your ability to manage your own