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, decarbonising the built environment is essential to meet these goals. Improvements to buildings to make them more energy efficient requires high levels of air tightness to prevent heat loss. However, high levels
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project will explore designing and engineering novel behaviours and responses into LCEs, from understanding their fundamental molecular organisation to creating functional materials with applications
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accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too
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by healthcare practitioners and wider DVA services. This is twinned with a PhD (PhD2) at the University of Nottingham, which explores the views of healthcare staff who support people with MS. You will
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(s) & email address(s) Professor Alison Heppenstall, A.J.Heppenstall@leeds.ac.uk Project summary One full PhD scholarship is available in the School of Geography in 2025/26. This scholarship is open to