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Ship design is a mature discipline with a long history of using tried and tested methods, demonstrated by thousands of successful examples in use today. However, the move towards more sustainable
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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storm to use these technologies and/or visit the affected area to evaluate storm-related tree damage. Therefore, to support sales planning and the safety of foresters working in the field, there is a need
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will need to apply to the University of Exeter as the registered University who will be awarding the PhD.
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and strain may relate to patterns of volcanic earthquakes. Models will be applied to case-study volcanoes co-selected with the PhD student and collaborators at local volcano observatories during
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structural biology), Moebius (host–virus evolution, mathematical modelling), and Verkade (correlative microscopy, VolumeEM), the student will be trained in cutting-edge techniques, including cryo-electron
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, or applying consistent correction models across inter- and intra-satellite interactions. The use of multi-objective optimisation will enable systematic exploration of trade-offs between different classes
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future climate change affect these hazards? The PhD researcher will have scope to determine: Selection of study rivers/locations; hazard focus (river migration by bank erosion or avulsion); methodological
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to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand
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for Ecology & Hydrology (UKCEH) but you will need to apply to the University of Exeter as the registered University who will be awarding the PhD.