614 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" scholarships in United Kingdom
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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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mechanistic, dietary and clinical analyses embedded within a double‑blind randomised controlled trial of tirzepatide. Project Description You will analyse Intake24 dietary recall data collected during the trial
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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
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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Project advert This PhD will pioneer the first species-level monitoring framework using drone-based multispectral data fused with very-high-resolution satellite imagery (Pleiades Neo), powered by