389 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"L2CM" Postdoctoral positions in United Kingdom
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. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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principled comparisons between human, macaque, marmoset, and rodent cognition. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics
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Role Description Department The Department of Archaeology at the University of York is ranked 25th in the world and 5th in the UK in the QS rankings. Our vibrant, diverse and international
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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-clinical research to progress our programme targeting cell senescence towards clinical impact. The University of Dundee enjoys an international reputation for excellence that attracts top-class students and
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to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys