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? No Offer Description Are you fascinated by the rapid evolution of Earth Observation (EO) and eager to shape the next generation of validation methods for near-real-time land change monitoring? Do you
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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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aim to create weakly bound RbSr molecules through the use of confinement-induced resonance. From there, we will be able to create ground-state molecules by optical adiabatic state-transfer techniques
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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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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
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The climate and biodiversity crises make it urgent to rethink how we manage land and water. Current land-use systems are often eroding the ecological foundations on which long-term prosperity depends. Existing
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land use pressures obtaining land for nature restoration may be difficult and may involve resistance. In other locations the added value of restoration may be smaller. Having insight in the spatial
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the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and
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Researcher (R1) Application Deadline 23 May 2026 - 22:00 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework