528 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" PhD positions in United Kingdom
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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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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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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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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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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
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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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for the following programme: https://study.ed.ac.uk/programmes/postgraduate-research/495-informatics-ipab-robotics-computer-vision-computer-graphics with a start date of 14 September 2026 (home applicants
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extension to other immunotherapy-treated cancers to enable cross-cancer comparison and broader generalisability. The project will leverage two complementary data sources: the TrinetX global research network