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to steer neural activity towards therapeutic or enhanced states. Using neurobehavioural data, the system will generate individualised modulation commands, applicable across multiple neuromodulation
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multiple public services, including health, education, housing social care and criminal justice. Using linked administrative datasets, the research will explore new approaches to identify patterns of cross
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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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, condensed-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA) on the potential development of a workforce governance framework and a national workforce registration scheme for sport and
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PRISMA guidelines Design and implement search strategies across multiple scientific databases to identify relevant studies Critically appraise and extract data from peer-reviewed literature using
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the challenges of dynamic sensor networks for sleep management. Through the joint supervision between multiple disciplines, the student will be offered a unique opportunity to develop a robust personal portfolio
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it