591 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral positions in United Kingdom
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opportunity to work on the extremely timely “TWISST: Terahertz wave induced spin switching technology” project. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic
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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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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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About the Role We seek a Postdoctoral Research Associate to contribute to the delivery of the precision medicine translational program of research in autoimmune rheumatic diseases at Queen Mary
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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-tier conferences and journals in AI as well as, ideally, AI and Law. A strong computer science background with a focus on AI with experience, including a proven publication track-record, in at least two
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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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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials