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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
Football Club (BHAFC). This exciting interdisciplinary project will explore how individual sleep patterns and circadian patterns influence performance and recovery and injury with a view to informing
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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at several campus venues including Sun Bowl Stadium - where one of the oldest football bowl games takes place annually - and the Don Haskins Center arena. Southwest University Park, located a mile away in
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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what we can learn from this to address image-based sexual violence more effectively in the contemporary media landscape; or examines the relationship between industry and regulatory institutions
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to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and complexity of tactics, techniques, and procedures that are supported, as
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-information.html#Academic-Staff This project is conducted under the auspices of the consortium Emergence at all Scales (EAAS). EAAS is the national flag-carrier of the NWA route 2 game changer Dutch Institute
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ecological niches in which early humans evolved language. You will be directly responsible for the swarm robotics side by designing and executing an interactive, foraging-navigation game, both simulated and in
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integration of model checking and synthesis with machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. Based