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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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& Finance (AEF) is a dynamic blend of dedicated researchers, passionate about pushing the disciplinary boundaries of accounting, economics, and finance, with a keen focus on green finance, energy economics
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with support of senior clinicians to TASS athletes up to international level. You will also deliver physiotherapy services to athletes on the Performance Sport program, members of Team Hallam, university
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up to international level. You will also deliver physiotherapy services to athletes on the Performance Sport program, members of Team Hallam, university staff, students and external partners
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teaching that is accessible, and practice orientated. Department research includes projects on sustainability, technology innovation and operational improvement. Research funding has been awarded by both
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computer science and/or signal processing, with the knowledge of machine learning and/or some expertise in the areas related to big health data including genomics, imaging data analysis. Preferred skill requirements
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. Candidates will require a PhD or Master's degree in a relevant subject (e.g., Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Marine Technology) as well as academic
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conducted within our Centre for Applied Behavioural Sciences. The research we do is grouped by three main themes: Cognition, Brain and Behaviour; Lifespan Health and Wellbeing; Work, Society and Environment
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10 May 2024 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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Type: Temporary Full Time Basic Function: The successful candidate will join the Department of Agri-Food Business and Spatial Analysis within Teagasc’s Rural Economy and Development Programme which is