612 software-verification-computer-science-"TCAT-Jacksboro" PhD positions in United Kingdom
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- Royal Holloway, University of London
- Royal Holloway, University of London;
- Sheffield Hallam University
- Sheffield Hallam University;
- Swansea University;
- The Francis Crick Institute;
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Field
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Department of Chemistry Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the Department of Chemistry. Eligibility: PGR applicants in the Department
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with advanced instrumentation and custom software to unlock new functionalities. In later phases of the project, the refined technique will be applied to characterise both commercial and custom-designed
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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. These payments are set at a level determined by the UKRI, currently £20,780 for the academic year 2025/26. Specific requirements of the candidate Essential Criteria BEng/BSc/MSc in Mechanical Engineering, Applied
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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Mathematics or Statistics or Computer Science or close to completion, having submitted the thesis at the point of starting the position (Research Assistant)
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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and