18 data "https:" "https:" "https:" "https:" "Università degli studi di Firenze Unità di Processo" Fellowship positions at University of Oxford
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, patient management, governance and compliance, and data and documentation. This position sits at the interface of cardiology, cardiac surgery, radiology, and clinical research delivery, requiring strong
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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to collection and processing of research samples. They will lead in study data collection, analysis and write-up, and will present results at local and national meetings. It is expected that they will contribute
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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of data on different aetiological subtypes of TIA and stroke study subjects as part of the Oxford Vascular Study (OxVasc), a population-based cohort study of all acute vascular events in all arterial
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Please open the attached 'Job Description' document below to view the full information for this post, including the responsibilities of the role and a more detailed insight into the work of the Future
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attached 'Job Description' document below to view the full information for this post, including the essential and desirable selection criteria. Once you have reviewed this document, you may apply
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Capital.com, one of the world's leading trading platforms with millions of users, gaining unprecedented access to proprietary data to conduct frontier research. The project encompasses multiple research
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of Paediatrics at the University of Oxford. The goal of our research is to understand the information that shapes the complex physical architecture of the heart wall, and how it can be disrupted to produce
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while