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separation from their social group during treatment and recovery). Collection management (such as species breeding programmes) may mean that individuals are moved between institutions and must integrate into a
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limit’, Eos, 99, https://doi.org/10.1029/2018EO092269 . Mainstone, C. et al. (2018) Developing a coherent framework for assessing priority freshwater habitats in England. Natural England JP016.
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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seasonal-to-subseasonal forecasting ensemble in modelling and forecasting these processes. As datasets develop, there may also be opportunities to assess simulation skill of AI forecasts. For further
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challenges in the area of hazard assessment and impact forecasting. The aim of the project is to develop methodologies for forecasting future energy use for various assets and weather scenarios from short term
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including, but not limited to, women and Black, Asian and Minority Ethnic. The research programme will take place in the an interdisciplinary environment of the Metamaterials and Nanophotonics group (https
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. The project will take place in the group of Dr Nur Ünal (https://scholar.google.com/citations?hl=en&user=VIzeUlUAAAAJ ) in the theoretical physics group at the School of Physics and Astronomy, University
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modelling of compound hazards by integrating human influence data (such as water abstraction, reservoir capacity, urbanization, population density) into a pre-developed foundational AI model - quantify and
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, industry, including the (re-)insurance sector, and the public to better prepare for seasons of high activity. The project will investigate the skill of forecasting seasonal accumulated North Atlantic cyclone