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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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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
at BHAFC and a supportive supervisory team with expertise in sleep, sports medicine, sports science, and data analytics. The PhD researcher will design, conduct, and analyse data and review literature
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: RISE: Restoring Intertidal Systems using Electronics. Coastal
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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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We are delighted to announce a 3-year PhD scholarship in French or Francophone Studies at the University of Sheffield. The Dorothy Tingle Bequest Scholarship has an annual value of £12,000 towards
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The PhD is funded by a NWSSDTP CASE studentship and is open to Home (UK) students only. This interdisciplinary project investigates the health and environmental impacts of outdoor advertising, with
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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the use of these AI-enabled technologies to cause harm to democracy itself. In light of these challenges, we seek an ambitious PhD candidate to establish a research agenda on the relationship between AI
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are invited for fully funded, three-year PhD Studentships within the Lincoln Institute for Rural and Coastal Health (LIRCH), the country’s first integrated, multidisciplinary research Institute dedicated
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project