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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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wireless systems and intelligent connectivity. Building on WIoT’s global research leadership, the London campus brings together expertise in AI, neuromorphic computing, and wireless communications to explore
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction
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Language Processing, or a closely related field* Demonstrated experience with computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries
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Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational
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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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of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction models when faced with data drift, bias, and fairness challenges. The research will involve developing deep