788 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in United Kingdom
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PhD students, the Centre for Sustainable Cyber Security (CS2) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT, and XR cyber security to certified
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Project details: Various dietary supplements have been shown to possess bioactive effects that could enhance health and wellbeing. However, few studies have examined longer-term intake of different supplements combinations on relevant markers. Our project aims to examine effects of dietary...
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
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a full-time PhD position.
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This fully-funded PhD offers a unique opportunity to drive that change. We are seeking a talented and motivated student to join a multidisciplinary team working at the intersection of biomedical
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The Topic This PhD studentship is based in the School of Psychology at the University of Kent. The studentship is funded by a European Research Council Starting Grant fulfilled through a UKRI
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully-funded by the University of Exeter and National Grid to commence on 01 July 2025 or as soon
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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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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to air pollution in the future, and planning further policy changes. This PhD project will develop statistical modelling frameworks that are able to handle large-scale, complex, and correlated time series