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-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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–outflow measurements, providing limited insight into what happens inside the systems and leading to substantial uncertainty in design, modelling, and long-term performance predictions. This PhD project aims
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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sectors. At the department of Physical Geography at Utrecht University, we have developed the global hydrology and water resources model PCR-GLOBWB to analyse these global water challenges. As a PhD you
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. The hub is anchored within the department as a “shared services” facility, modeled after a Center for Spatial Studies. It thus serves as a central service unit whose services are equally accessible
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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addition to an extensive observational programme, the project will bring together a suite of existing models, ranging from spatially explicit lower trophic level models through fish population models to fisheries management