652 computational-physics "https:" "https:" "https:" "https:" "Chalmers" PhD positions in United Kingdom
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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generate high-quality experimental datasets, establish process-structure-property relationships, and demonstrate ML-guided optimisation of aerogel electrodes. The outcomes are expected to effectively
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
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admissions process generally, please contact research.degree.admissions@plymouth.ac.uk The closing date for applications is 12 noon on 24 April 2026. Shortlisted candidates will be invited for interview
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been shown to increase the risk of depression, anxiety, reduced physical activity and poorer sleep (Alon et al., 2024; Orben et al., 2020). Despite growing concern, there is a need of a clear
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their work at major international conferences. Applicants should have a 1st or high 2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related
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apply Applications should be submitted via the PhD Physics programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall