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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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students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3 years full-time, or pro rata for part-time study. The student would be based in in the Faculty
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facilities and be based within the Centre for Metamaterials Research and Innovation (CMRI): a community of academic, industrial, and governmental partners that harnesses world-leading research excellence from
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at the UKRI rate (£20,780 per annum on a full-time basis from January 2026). There is an enhanced budget for project costs (including travel) of £20,000. The student will be based in the Department of Physics
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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or Stata (or similar packages) would be an advantage, although training will be provided. Strong written and verbal communication skills are essential. The project is based in the Net Positive Centre’s hub