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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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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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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
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: School of Physics & Astronomy Studentship, in collaboration with Merck, providing the award of full academic fees, together with a tax-free maintenance grant at the standard UKRI rate of £21,805 per year
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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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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk) Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio
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The Physics and Astronomy Department is located in the heart of the historical area of Bloomsbury. Scientific research and study has been a strong feature of UCL since its inception in 1826 and the