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process-based understanding and long-term performance of these systems. The project is inherently interdisciplinary, combining hydrological process understanding with geophysical monitoring approaches. Take
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. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop a robust modelling framework to simulate future changes in water
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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a
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) hydrological/hydraulic modelling of urban streams and adaptation measures for current conditions and future climate scenarios. The results from the project will contribute to better estimations of how urban
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19 Jan 2026 Job Information Organisation/Company Utrecht University Research Field Geosciences » Hydrology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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21 Dec 2025 Job Information Organisation/Company Wageningen University & Research Research Field Geosciences » Hydrology Researcher Profile First Stage Researcher (R1) Country Netherlands
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21 Dec 2025 Job Information Organisation/Company Wageningen University & Research Research Field Geosciences » Hydrology Researcher Profile First Stage Researcher (R1) Country Netherlands
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of this PhD position is to incorporate advanced dynamics of land-ocean coupling into this framework. Specifically, the Hydrological Discharge (HD) model simulating river runoff shall be extended with
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
and on the handling of natural hazards. The Research Unit Mountain Hydrology and Mass Movements investigates water resources and natural hazard processes such as floods, droughts, and mass movements in
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Intermittent streams (c. 50% of world rivers) and headwaters (c. 90% of rivers) are key riverine systems for hydrology, ecology and water quality, which are poorly monitored and lack data (Dugdale