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aerostructures. This postdoctoral research position will develop design and analysis methods for non-standard fibre angle composites for future light-weight aerospace structures, thus realising more fully the
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operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems
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strong interest in spatial and environmental dimensions of urban systems. The ideal candidate will have: A PhD (or working towards or equivalent experience) in urban analytics, geography, spatial planning
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opportunity to gain experience towards achieving research independence. About you The ideal candidate will hold a PhD in experimental (quantum) physics or a closely allied discipline. Possess strong skills in
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expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial
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and champion the new research and technology developed on a global stage. We also hope that you will help advise the CAMERA project and PhD students working on aligned topics. The CAMERA Studio As part
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to a minimum of 10 days professional development pro rata per year for training courses, workshops and attendance at international conferences. The successful candidate will hold a PhD in genomic
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the subject area of research methods and physiology. You will join a team of lecturers delivering a suite of units across our Undergraduate and Postgraduate Taught degrees delivering content primarily to students
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, compactness, low weight, fast response, and good controllability. However, the current hydraulic control method involves using valves to throttle flow, reduce pressure, and control the speed and force
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economic and financial analysis of climate risks to identify robust adaptation options and priorities. The ideal candidate will have a PhD in climate economics and some knowledge of climate finance in