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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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4-year D.Phil. studentship Supervisors: Prof Matthew McGilvray & Dr Luke Doherty College: Oriel College An exciting PhD project in Effects of thermal warpage on supersonic intake and combustion will
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Using capturing carbon dioxide and clean hydrogen is essential for a sustainable future in energy and chemical production. However, the transition is hindered by a lack of efficient, affordable catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali...
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any
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specific drug resistance and pathogenesis mutations. The project will combine classical microbial genomics with machine learning and AI analysis approaches to create the most in depth population analysis
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to cultivating a diverse cohort of PhD researchers from a range of academic backgrounds. If you have any questions about this opportunity, please contact p.r.knobbs@aston.ac.uk , AIME Manager for a chat. This
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. The Trustworthy Systems Lab at the University of Bristol, in partnership with Toshiba Europe Ltd., invites applications for a fully funded PhD studentship focused on designing trustworthy and deterministic