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capital. At the same time, geopolitical tensions, migration restrictions, and national security considerations may constrain the international mobility of researchers, potentially reshaping global knowledge
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restrictions, and national security considerations may constrain the international mobility of researchers, potentially reshaping global knowledge networks and innovation outcomes. This PhD project examines how
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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes
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. Using an innovative multilevel approach, you will move beyond institutional averages to identify where inclusion succeeds, where disparities persist and how universities can create more equitable learning
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or the willingness to learn Dutch is considered an advantage, given the clinical component of the project. You are an enthusiastic team player who contributes to a positive and collaborative working environment
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related field; has strong affinity with the study of socio-economic and ethnic inequality; has experience with advanced quantitative methods (or is motivated to learn); ideally has experience with large
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strong affinity with the study of socio-economic and ethnic inequality; has experience with advanced quantitative methods (or is motivated to learn); ideally has experience with large-scale, complex data
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. The research programme addresses the interaction between power, authority, and legitimacy, which it seeks to connect with social movements, protest, and conflict. Please follow the links to learn more
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use these in simulations of groundwater flow and particle mobilization underneath dikes; validate schematizations and simulations using in-situ measurements and observations, using existing datasets as