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competition with all other PhD applications. For Chinese candidates: The China Scholarship Council (CSC) Scholarship: https://www.csc.edu.cn/chuguo China Scholarship Council (CSC) PhD Scholarships Programme at
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Microlocal analysis explores the classical/quantum correspondence in partial differential equations (PDEs). For example, the concept of symbol quantisation in the theory of pseudodifferential
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£26,805 per year, and includes the PANDA DFA training programme as part of the 2026 Cohort (https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
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rehabilitation services. Potential methods may include: Evidence synthesis, including systematic reviews and/or meta-analyses Analysis of routinely collected health data, observational datasets, or patient
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no less than 5.5 in any band or equivalent). How to Apply Applicants should upload information via Birmingham’s Mechanical Engineering PhD portal here: https://www.birmingham.ac.uk/study/postgraduate
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
necessary. Previous experience with experiments involving human participants (particularly in decision making and / or teams), and statistical analysis of data is essential. Familiarity with agentic AI
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the Network and receive the support of other network leads and opportunities to collaborate with industry partners. More information about the project and its aims: https://www.sum4products.co.uk/about What you
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workflows to implement such interactions into supramolecular hosts (pubs.rsc.org/en/content/articlelanding/2022/cc/d2cc00532h ). You will learn a wide range of molecular modelling and data-driven techniques