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, variable-density groundwater flow and fresh-salt transport modelling, field evidence and applied spatial decision support. You will improve and apply an existing calibrated, high-resolution groundwater model
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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strategy. Your qualities We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
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Mediterranean-wide setting. Your qualities Knowledge, skills and experience: A PhD (awarded or in the final stages of completion) in sustainability science, urban planning and governance, human geography, policy
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to strengthening local disaster risk governance and empowering vulnerable, at-risk, and underserved communities. A key responsibility will be the development of the Preparedness Pathways model through theoretical
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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Requirements You have a strong affinity with disaster risk governance, preparedness, and climate resilience, along with strong analytical skills and a PhD in risk governance, spatial planning, or related