567 data-"https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" PhD positions in United Kingdom
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conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ CDP doctoral training grants fund full-time studentships for 48 months (4 years) or part-time
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Elizabeth Shepherd at UCL Department of Information Studies (UCL:DIS), and Felicity Myrone, Maddy Smith and Dr Alice Marples at the British Library. The student will spend time with both UCL:DIS and the
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the National Gallery. All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ All CDP projects
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enquiries please contact Dr Lauren Lee at: lauren.lee@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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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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Stipend: circa £23,805 per annum + UK fees Duration of Studentship: 4 years Start date: October 2026 Vacancy information The Department of Chemical Engineering at the University College London (UCL
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experiments often face "limited data" conditions caused by strict time constraints, radiation dose concerns, or experimental rigs that physically block certain imaging angles. This PhD project aims to create
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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AHRC Collaborative Doctoral Partnership (CDP) studentship: Histories of Pollution in the Urban Art Museum, c. 1840–1900 (UCL and The National Gallery) Applications accepted until 4 May 2026
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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