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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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to simulate present and future debris-flow frequency and magnitude (in collaboration with Dr. Jacob Hirschberg, ETH Zurich). We are looking for a candidate with a passion for natural hazards and geomorphology
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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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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information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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approached as a situated process emerging through the interaction of data, models, professional judgement, and organisational context. Depending on your interests and empirical setting, the project will
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of the supervision team; Participating actively in the intellectual life of the research group, including seminars, reading groups, and collaborative writing processes. Your qualities Required qualifications A
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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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