739 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in United Kingdom
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shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 30 April 2026. Visit our website for further information on eligibility and how to apply: https
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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Application deadline: 31/01/2026 Research theme: Control Engineering, Robotics UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual
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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Subhash Lakshminarayana (Lead) and Dr Michael Faulkner Safeguarding Power Grid Stability in the Age of Artificial Intelligence (AI) Data
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implemented this type of skeletal tracking system into their Video Assistant Referee (VAR) process by adopting Semi-Automated Offside Detection (SAOD) technology. Whilst this is a very specific application to
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informal enquiries please contact Dr Eike Cramer at: e.cramer@ucl.ac.uk For further information on the MPhil/PhD course as well as the recruitment and selection process, please click on the link below: https
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TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two NIHR UCL UCLH BRC Studentships in Artificial Intelligence in Medicine or Health Data Science Two
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TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded
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have a duration of 42 months, with an annual stipend at the UKRI rate (currently £21,805). The Faculty of Science AI DTC is an initiative by the University of Nottingham to train future researchers and
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception