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Description Are you interested in transdisciplinary research for nature-based solutions and its potential to enable more just and sustainable regions? Your job We seek a Ph.D. researcher to theoretically and
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and responsible artificial intelligence, combining areas such as reinforcement learning, social and cognitive computational modelling, knowledge representation and reasoning, agent-based modelling. More
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theory-experiment collaboration in which a PhD candidate in Condensed-Matter Theory based at Utrecht University, supervised by Prof. Rembert Duine, collaborates closely with a PhD candidate in Experimental
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towards more sustainable trajectories and enriches the post-growth debate in spatial planning. Under the guidance of senior members of the project, based at Utrecht University, the University of Bern
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. Under the guidance of senior members of the project, based at Utrecht University, the University of Bern, the University of Lausanne, and the TU Delft, as well as in different professional organizations
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(simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets to test theoretical hypotheses and identify new regularities; contribute
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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doing so, you will draw on the unique knowledge base within Ombion external link (Centre for Animal-Free Biomedical Translation), an ambitious national programme aimed at accelerating the transition
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parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees