484 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in United Kingdom
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involve extensive field-work at major nuclear laboratories, in particular in the United States. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks
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for candidates who can demonstrate strong research potential. Suitable backgrounds include, but are not limited to: Human Factors Law (particularly law and technology, medical law, or data governance) Psychology
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placement will be provided by HM Inspectorate of Probation. For further information about the application process, please contact the Admissions Team For further information about the project, please contact
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed
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is 2:1. Degree in psychology, public health, epidemiology or other health-related discipline. Mode of study: Full-time Start date: 1 October 2026 Additional Funding Information This project is fully
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completed application should be emailed to the Doctoral College Admissions team by 2nd March 2026 at 9am. Funding information Full tuition fee waiver for three years and a stipend each year at UK Research
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the ergogenic aid. Further information: Applicants should have at least a 2:1 in a relevant degree (for example but not limited to Sport Science/Medicine/Rehab, Public Health, Medicine), and ideally a relevant