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how oxygen, nutrients, pollutants, or fine sediments migrate between surface water and the bed, or to quantify how restoration actions affect life-sustaining processes such as fish spawning and methane
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of rainfall, drainage capacity, and 3D urban form on flood severity • Validate results with hydrodynamic simulations and 3D urban semantic models, benchmark against state-of-the-art methods, and publish in
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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The Young Investigator Group Perovskite-based Multi-Junction Solar Cells is looking for PhD Student (f/m/d) Development of All-Perovskite Triple Junction Solar Cells Your Tasks Manufacturing and processing
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 23 days ago
complemented by Monte Carlo simulations, triple collocation analysis and data assimilation to develop a frame work for the operational processing and data fusion to finally derive 3- dimensional (dim), and where
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670