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Field
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, distributed ledgers) Desirable: Experience with generative AI (e.g. LLMs) Interest in Human-Computer Interaction Interest in privacy enhancing technologies (PETs) Other: Experience in presenting or preparing
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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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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 School of Computing at the University of Kent and Huawei invite applications for 2 fully-funded 3.5-year PhD scholarships for Home and Overseas students. You can apply for a PhD on the topic
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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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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
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Award type: MSc by Research Start date: 29/09/2025 Studentship funding Sponsored by Sponsored by Anglian Water and Cranfield University, this MSc by research will provide a bursary of to £24,000 (tax free) for living expenses plus registration fees* for one year. Eligibility Duration of Award...
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative