80 computer-programmer-"Multiple"-"U"-"Embry-Riddle-Aeronautical-University" research jobs in United Kingdom
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-holder will contribute to the successful delivery of a complex, multi-stakeholder research programme by: Coordinating and supporting empirical research projects across multiple military sites in the UK
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/workforce-and-learning-research-group ). The Compound Pressures project is a realist review funded by the NIHR HSDR programme. The project aims to understand how multiple and intersecting pressures, such as
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We are inviting applications for an exciting new post for a Research Assistant to work with Dr Megan Kirk Chang on an interdisciplinary research program on the Oxford Health BRC Preventing Multiple
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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outcomes using design practices. The role is to contribute to a programme of research in partnership with Glasgow University and Glasgow Centre for Population Health to co-develop Community food markets as a
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We are inviting applications for an exciting new post for a Research Assistant to work with Dr Megan Kirk Chang on an interdisciplinary research program on the Oxford Health BRC Preventing Multiple
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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), and a neuropsychological rehabilitation programme for people with MS with mild or moderate cognitive problems. The successful candidate will join an established multidisciplinary team of clinical
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring