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Field
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conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising but currently, designing high-ZT GNRs is a slow, trial-and-error process, as the inverse
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project will develop the first sustainable, closed-loop recycling process for polymer-bonded NdFeB magnets. The research will harness chemical recycling approaches to selectively dissolve the polymer matrix
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Application deadline: All year round Research theme: Chemical engineering, Applied physics UK only This 3.5 year PhD project is fully funded and home students, and EU students with settled status
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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-quality simulation data. This PhD aims to fundamentally change the turbomachinery design process by replacing iterative RANS-based CFD loops with regression-driven inverse design. Instead of repeatedly
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to obtain) a 1st/2.1 or Master’s degree in Engineering, Physical Sciences, Life Sciences, Data Science, Mathematics, or a related field. Strong quantitative and programming skills are required. Interest in
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autonomy: learning-based systems that can operate safely over long horizons, respect physical constraints, and provide predictable closed-loop behaviour. By grounding reinforcement learning in stability
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following the correct application process will not be considered. The successful applicant will then be required to apply to and register on the Institute of Health Informatics MPhil/PhD programme to take up
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, their composites, and analyse, characterise, or model the reaction pathways and the properties of involved phases. The role holders must have very good knowledge and expertise in material physics and/or chemistry or