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Application deadline: All year round Research theme: Multi-scale modelling How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD project is fully funded for home students
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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-Cooled Reactors (HTGRs) are one of the major Generation IV reactor designs, offering enhanced safety features, high thermal efficiency, and strong potential for industrial heat applications. The UK
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Programme Overview This PhD is part of the Engineering Hydrogen NetZero (EnerHy) Centre for Doctoral Training (CDT), a newly established EPSRC-funded initiative focused on advancing research and
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of the FL process. Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Closing date : 31 August 2025. Applications will be considered in
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programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name
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and e-mail the following to STEM-SPS-PHD@open.ac.uk by the application deadline 19th September 2025 - 17:00. A completed Application form UK if you are classed as a home student . An up to date CV. A
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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. Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Elect & Elect Eng (Full time)”. In Section 2 of the application form you should insert
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well as collaborate with others with effective written/oral communication skills. Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) and knowledge of acoustics and solid