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Field
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. However, when interest is rather in the behavior of the system during extreme events, for example during floods in a river network or crashes of the stock market, current approaches for structural causal
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framework for efficient prediction, model selection and management in such settings. However, when interest is rather in the behavior of the system during extreme events, for example during floods in a river
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museums, and French and German institutions. Together, they will collect genetic data on insects, fish, and plants found in forests and rivers, establish joint monitoring of these environments, and create a
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Regional Outcomes Application Deadline: 9 August 2026 Start date: 1 October 2026 With public trust at an all-time low, following regular spills of raw sewage into rivers and waterways, England and Wales face
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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under the theme of Nature-based Solutions, the group of PhD students will work together to understand biophysical and socio-economic process for a case study river catchment in Ireland. Each PhD student
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Rhine-Meuse river basin, aiming (1) to quantify natural vegetation adaptation to a changing climate, (2) to further develop the wFlow-SBM hydrological model to account for these changes with a time
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backward erosion (piping). Your 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
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submerged water plants (macrophytes) at the morphological and physiological level and makes use of plant physiology and biochemistry approaches next to the use of an artificial river, the Mesodrome
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polymers), hydrogels, and covalent organic frameworks (COFs). One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by