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The UK’s railway bridge asset stock represents over 80% well-aged (>50 years) infrastructure, often carrying loads beyond their original design capacity, hence in urgent need of a reliable real-time
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the main supervisor; Dr Ali Ehsan - ali.ehsan@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your
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. To apply, please contact the main supervisor, Dr Thomas McDonald - thomas.mcdonald@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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the main supervisor: Prof Zhou - xiaorong.zhou@manchester.ac.uk. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your
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scholars are encouraged to audit masters and degree level courses where appropriate. You will also have the support of the Sustainable Transitions management team as well as your own supervisory team
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services in Sheffield meet older people’s food and nutrition needs? These research questions will be answered using primary mixed-methods data collection, including in-depth semi-structured qualitative
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Sponsor/ Supporting Company: WMG – affiliated with Faraday Institution Eligibility: 2:1 or equivalent undergraduate in STEM (Masters Degree desirable) Start Date: Oct 2026 – intake The Battery
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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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supervised by Dr Daniel Payne (Principal Investigator), Dr Calum McMullen and Dr Katja Rietdorf (Co-Investigators). The student would be required to live in the UK and within commuting distance of The Open
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become accessible experimentally only about twenty years ago, and is now used to realise the first noisy quantum computers. In particular, the main goals are to understand: the non-equilibrium dynamics