504 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" PhD scholarships in United Kingdom
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imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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for this research studentship, please complete the online application form. For further information contact us today: T: +44 (0)1234 758540 E: study@cranfield.ac.uk
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migrant and non-national groups. PhD Focus and Research Questions The PhD will explore how AI and digital data systems are changing everyday welfare practices in the UK. The student will likely focus on one
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the wider custodial role of cultural institutions remain under-recognised. Working closely with the Serpentine’s R&D Strategic Lead, the project will develop new approaches to research, data gathering
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evidence of programming experience. How to Apply Applications should be submitted through the RAINZ CDT website via the above 'Apply' button by 13 February 2026, where further information about the CDT is
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
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of Dr Zhong-Nan Wang at UoB. The research of the group is focused on developing high-fidelity CFD and data-driven approaches for aerodynamics and aeroacoustics. The PhD project is expected to start in
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics