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description Bring science and practice together, investigate how municipalities can address complex socio-spatial challenges in an integrated way and create genuine societal impact. Dutch public organisations
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computation, or phylogenetic inference, as applicable to microbiomes and human-microbiome interactions, such as outbreak-related strain reconstruction, or phasing and assembly of complex immune-system loci
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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English, with the ability to communicate complex ideas clearly. Ability to work independently on a research agenda while collaborating within a large, multidisciplinary, international consortium
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models and agents: how to consolidate and transfer physical knowledge into learning systems for the real world. Physics engines and physics-informed neural networks are powerful, but the open problems
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-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information
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Experience in working with large geospatial datasets (e.g., ERA5, CMIP6, Sentinel, MODIS) Working with complex models and high performance computing, ideally dynamic global vegetation models (DGVMs
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understanding of soil–foundation interaction under complex offshore loading conditions. Relevant topics include installation effects, cyclic and dynamic loading, long-term performance, and the removal or reuse