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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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consequences and manage coastal systems effectively. Since 2001, Marine Biodiversity and Climate Change Project (MarClim), led by the Marine Biological Association of the UK, has monitored rocky intertidal
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Deterioration of earthworks slopes (cuttings and embankments), which support transport infrastructure and act as flood defences, is accelerating under increasing weather extremes resulting from
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integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
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Wildfires and floods are two of the most destructive natural hazards, and climate change is intensifying both. When fires strip vegetation and alter soils, rainfall can trigger debris flows and
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and