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Field
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appraisal, to ensure that design choices do not undermine the sustainability imperatives driving the transition to green-fuel propulsion in the first place. Research Aims This PhD programme addresses
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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supply-demand deficits becoming widespread by the 2050s. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop
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of experimental techniques is preferred but not mandatory Basic programming skills in any language Strong written and verbal communication skills To apply, please contact the main supervisor, Dr Kuppuraj
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needed Essential Criteria Undergraduate or Master’s degree in Economics or another quantitative discipline, to be completed or close to completion by post start date. Advanced programming skills in R and
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Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and