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or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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their skills outside PhD study, those who currently hold a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad
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conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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methodological and applied research questions. Applicants should hold a master’s degree in transportation engineering, civil engineering, computer science, data science, economics, or a closely related field
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and Vibration Research (ISVR). Advanced Air Mobility (AAM) presents an opportunity to revolutionize public...
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study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible