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discipline such as Earth observation, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation
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The School of Physics and Astronomy is seeking to recruit a Research associate / fellow to undertake development of magnetic field technologies supporting the development and commercialisation
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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Dineen (deputy lead) and Clinical Associate Professor, Dr Steffi Thust. The MR&PI team undertake research into discovery and translation of new imaging tools to transform non-invasive diagnosis, improve
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Dineen (deputy lead) and Clinical Associate Professor, Dr Steffi Thust. The MR&PI team undertake research into discovery and translation of new imaging tools to transform non-invasive diagnosis, improve
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record with ambitious plans to deliver an innovative research programme, positioning them to be future leaders in their field. For the Associate Professor and Professor roles, we expect applicants to be
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operations and will develop an exciting programme of academic research and associated communication activities. The post holder will develop their own independent research projects and will publish academic
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing