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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
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Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
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that reveal where the tipping points lie in the relationship between changes in flood risk, financial markets and possible response strategies as protect, retreat and living with waterclimate adaption? Are you
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Mediterranean region, regularly cause flash floods in small watercourses. These floods prove particularly dangerous and damaging due to their high intensity and rapid onset. Gustave Eiffel University has been
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Trinity is Ireland’s leading university and is ranked 75th in the world (QS World University Rankings 2026). Founded in 1592, the University is steeped in history with a reputation for excellence in education, research, and innovation, which has been inspiring generations of thinkers for over...
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PhD in Bridging Physics and Earth Observation: Geospatial foundation models for real-time flood mapping. Award Summary 100% Home fees covered and a minimum tax-free annual living allowance
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computational modelling to contribute to safer flood defences. Job description Internal erosion and piping are among the main failure mechanisms of clay–sand layered dikes and remain important challenges in flood
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Coastal flooding is becoming more frequent and severe due to climate change, rising sea levels, and increased storm intensity. Saltmarsh restoration, widely promoted as a nature-based solution, can
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict