628 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" scholarships in United Kingdom
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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tasks involve the detection, discrimination, and interpretation of coloured signal lights and information presented on modern digital cab displays. The project will combine visual task analysis, spectral
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in
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are typically superior to self-report measures in terms of data accuracy and resolution. For this reason, wearables are being used increasingly in physical activity–related research, but their use in
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not open to applications from candidates who hold deferred offers for 2026-27. For more information please see the Academic Futures webpage. Selection is expected to take place in June 2026.
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, where detailed information on the fund will be available in December 2025. The opening date for applications is 1st January 2026, and the closing date is 15th April 2026. We advise that you check the COSF
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opportunity. Please contact Mary Ivers, Interim Associate Director, External Engagement at m.b.ivers@greenwich.ac.uk for more information. Eligibility Criteria Priority for the scholarships will be given
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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epidemiology. We are keen for this PhD project to be student-led and shaped and driven by the successful candidate’s research interests and skills. Techniques to be used: Epidemiology Statistics and data