277 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD positions in United Kingdom
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submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app
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visit our website: https://flexteam.univie.ac.at/ . To learn more about FLEXPART, visit https://www.flexpart.eu/ . In the framework of the new research platform SPACETRACE (Pollution of the Atmosphere by
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are available on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: The studentship will cover A stipend at the UKRI rate (£21,805 from 1 October 2026
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at the University of East Anglia, while extending the Rothera (https://www.bas.ac.uk/project/rats/ ) timeseries forwards. You will explore the effects of variable sea ice and of a shift to a long-term low sea ice
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
metrology, and quality control for next-generation energy storage devices. [1] https://doi.org/10.1016/j.jpowsour.2024.234050 Scholarship: The award will cover the UK tuition fee level, plus a tax-free
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post
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major £10 million national research programme bringing together leading experts in cancer epidemiology, biostatistics, artificial intelligence, and health data science. THE PROJECT: Early cancer diagnosis
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. For further information regarding eligibility and PhD projects available please see PhD Programme MRC Biostatistics Unit (https://www.mrc-bsu.cam.ac.uk/phd-programme ) To apply please see the University's
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career