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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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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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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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-of-the-art models for robust and responsive food supply chains, you will investigate how disruptions such as droughts, floods, heatwaves, and other climate-related shocks might affect critical decisions
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. These events such as (flash)floods, dam failures, coastal floods, storm surges and tsunamis generate highly unsteady flows whose interaction with buildings is poorly understood. In particular, the coupling
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job The Netherlands relies on a network of about 2,000 km of river dikes to contain flooding in its floodplains. These dikes undergo continuous assessment, maintenance, and reinforcement to uphold
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multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a combination of theoretical research and the implementation of new statistical methodology and
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can