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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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remote-sensing techniques for observing water surfaces, land/biosphere and ice. Knowledge of synergies between complementary Earth observation techniques is required. Knowledge of establishing and managing
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verifiable, data-driven post-mortem analyses of agricultural disasters. Your duties and responsibilities include: Conduct research on state-of-the-art Causal Machine Learning for the Earth Sciences
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)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and Switzerland, the project aims to better understand urban densification as a contested process of land rent
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scientific collaboration among world-class researchers in Member States (MS) and worldwide. The Hub brings together young and senior scientists of different disciplines in Earth Observation and Earth system
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the initiatives regarding dual-use Earth observation surveillance systems pursued by the various ESA Member States. The EOGS includes the EOGS-SM, a potential EU-owned constellation providing dedicated observation
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— in close partnership with the EU and to bring together initiatives relating to dual-use Earth observation surveillance systems among ESA Member States. The EOGS includes the EOGS-SM, a potential EU
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of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better
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Switzerland, the project aims to better understand urban densification as a contested process of land rent creation and redistribution, thereby exposing tensions among actors, values, discourses, and
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close partnership with the EU and to gather together initiatives regarding dual-use Earth observation surveillance systems among ESA Member States. The EOGS includes the EOGS-SM, a potential EU-owned