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; Ridder et al., 2020). For instance, prolonged droughts can harden soils and reduce infiltration, making it more vulnerable to flash flooding when heavy rainfall occurs. Successive heavy rainfall events can
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. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus
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within the themes developed by the following three teams: • “Geomaterials and Sustainable Construction”: Research focuses on natural and anthropogenic geomaterials (soils, raw and bio-based materials
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advanced urban planning policies. Their strategic locations in Northern Europe make them an ideal case study for modelling urban dynamics using advanced remote sensing, AI and new mathematical approaches
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of contaminated soils on soil strength and erosion control. Developing a Model for the Adoption of Agentic AI in Facilities Management: Enabling Autonomous Decision-Making for Sustainable Built Environments
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Cartographic Heritage to model the impact of land changes on the hydrological and river systems in Europe The main goal of this proposal is to develop strong research and analysis skills of a PhD student
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fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD programme offers advanced studies in theoretical and
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biosynthetic gene clusters and other molecular features relevant to natural product drug discovery Validating machine-learning and deep-learning models to predict the chemical structures and bioactivity
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analysis will be used to study the seismic response of prototype structures for different scenarios. Hence, the project integrates advanced element-scale, model-scale and in-situ testing with state
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-water settings. The research will develop a unified framework that fuses heterogeneous sensing modalities through uncertainty-aware probabilistic optimization while maintaining semantic, structural, and