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different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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academic environment. We place great importance on the intellectual contribution our Research Fellows make to St John’s, and on creating the conditions to accelerate their progress towards outstanding
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Job Purpose To make a leading contribution to the EPSRC-funded project “Designing Interaction Freedom with Active Inference (DIFAI)”, working with PI Professor Roderick Murray-Smith and Co-Is Dr
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for this Research Fellowship will have a strong background in a relevant discipline, including but not limited to anthropology, sociology, urban studies, architecture, history, environment and ecology, science and
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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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build the next generation of renewable energy interfaces and work at one of the leading institutions in the United Kingdom, Queen's University Belfast, collaborating with a team of academics and industry