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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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are essential. An additional background in analytical chemistry or physics, as well as experience with practical lab work (e.g. from a previous Masters degree) are advantageous. Interested students are strongly
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to work in an interdisciplinary team are essential. An additional background in physics or experience with practical lab work are advantageous. Interested students are strongly encouraged to contact
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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