491 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" PhD scholarships in United Kingdom
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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electron laser facilities. Contact: For informal enquiries please contact Sam Hay (Sam.Hay@manchester.ac.uk ) or Mike Hough (michael.hough@diamond.ac.uk ). https://www.manchester.ac.uk/research/sam.hay https
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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15 Jan 2026 Job Information Organisation/Company University of Birmingham Department School of Psychology Research Field Psychological sciences Computer science Researcher Profile First Stage
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will
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-expert audiences. Subject areas : Accounting, Business, Computer Science, E Business, Economics, Environmental Sciences, Finance, Hospitality, Human Resource Management, Information Services, Management
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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time/Part time Funding Details: Fees fully funded, Stipend £23,805.00 per annum (Full time) For further information about the award, how to apply and for the information webinar, please visit: https
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the information webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ Fair Access and Widening
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This exciting fully funded PhD, will address 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