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in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme
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that can be run. Emulating expensive processes could allow more data to be generated from better models, at lower cost. The central science question is: how can machine learning and evolutionary computation
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The London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP) is led by King’s College London and funded by the Economic and Social Research Council (ESRC) The LISS DTP Open
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Department: Materials Title: Improving the sustainability of engineering plastics Application deadline: 27/02/2026 Research theme: Polymers and composites How to apply: https://uom.link/pgr-apply
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3.5-year D.Phil. studentship Project: Computational Fracture Mechanics Supervisors: Prof Emilio Martínez-Pañeda Oxford’s Mechanics of Materials Lab is seeking a PhD (DPhil) student to support the
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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of how to apply to it please visit https://centa.ac.uk/studentship/2026-b20-linking-tree-emissions-to-atmospheric-chemistry-bvoc-reactivity-under-rising-co%e2%82%82/ Further information on how to apply
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diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential