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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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chain. Currently this possibility is hindered by the lack of automated end-to-end modelling workflows for risk and sensitivity assessment. Although many steps in the process can be currently automated
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Supervisors Professor Simon Horsley - Department of Physics and Astronomy, University of Exeter Professor Alastair Hibbins - Department of Physics and Astronomy, University of Exeter Summary
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. University of Exeter: The Department of Physics at Exeter has extensive expertise across optical physics, photonic device development and metamaterials. The student will have access world-class research
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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process.
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Postgraduate Programme of Study (soton.ac.uk) Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Computer Science (Full time)”. In Section 2