640 computational-physics "https:" "https:" "https:" "https:" "Chalmers" PhD positions in United Kingdom
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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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perception, AI ethics, or forensic science are especially encouraged. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Application
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of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel for heating due its lower unit cost and greenhouse gas emissions compared to alternative
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/new-cutting-edge-facility-creates-global-applied-research-opportunity https://gtr.ukri.org/projects?ref=EP%2FZ533300%2F1 https://www.birmingham.ac.uk/staff/profiles/physics/chung-mingee
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the process accessible to everyone and can provide additional support to adjustments to meet your needs. As part of our commitment to career development for research colleagues, the University has developed 3
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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Application deadline: 15/05/2026 Research theme: Biocatalysis How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) and overseas students. The successful
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process Please see our website for further information. Website for additional job details https://www.swansea.ac.uk/postgraduate/scholarships/research/fse-epsrc-phd-glob… Work Location(s) Number of offers
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results is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Application deadline: February 17 2026 Interviews
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow