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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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interest groups in these areas. The BfR thus makes an important contribution to the protection of human health. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours
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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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kinetic modeling Experience with (or willingness to learn) 3D modeling, CAD software, and 3D printing What We Offer: TV-L (E13, 67%) collective agreement ( Current TV-L pay table [pdf-Datei] ) A three-year
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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development of special phase field and phase field crystal models coupling newly developed approaches with established approaches for simulating e.g. mechanical properties and the flow of fluids implementation
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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Requirements: very good or good university degree in physics, meteorology, fluid dynamics or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs