540 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Our partners value diverse and inclusive work environments that are positive
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shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 30 April 2026. Visit our website for further information on eligibility and how to apply: https
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of this studentship will cover the student's stipend at the current Research council rate and Home University Fees. The studentship will be funded for 4 years from October 2026. Further information about the course can
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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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this project they will develop synthetic skills in organic and coordination chemistry, analytical skills in the collection, analysis and interpretation of key data using a range of techniques to characterise
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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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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address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data (https
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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collaborative project that spans multiple continents. Your main role will be to develop advanced algorithms for multivariate, multi-resolution time series analysis of wearable and neurophysiological data spanning