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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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2026 Apply now Interested in how geospatial data science and GeoAI can be applied to investigate health system resilience under the rising pressure of polycrisis? Excited about developing spatial models
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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies
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the participating experts and stakeholders for both case studies to coordinate, facilitate and monitor the co-creation process to develop shared narratives and conceptual model for sustainable sediment
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against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies and
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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evaluation against monitoring data, or development of spatial suitability or potentiality maps. Our offer Our offer: A full-time postdoctoral position (1.0 FTE) for two years, subject to the applicable Utrecht
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than 110 PhD students and postdoctoral researchers. We house or have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab , and the Earth
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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation