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    Seed Projects (Bridge PhDs) 2023
    Title Contact Math Contact SEE
    Faster AtmoSpheric Transport modeling using Dimensionality REduction and Acceleration of with Machine learning (FAST-DREAM)

    Charlotte Debus and Martin Frank

    Hoshyaripour Ali and Corinna Hoose

    Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)

    Sebastian Krumscheid

    Uwe Ehret

    RoughFlow: From roughness to fluid flow in natural fractures and faults

    Steffen Winter

    Philipp Blum

    Multilevel Methods for Quality Assessment of Injection Molding under Uncertainty

    Sebastian Krumscheid

    Florian Wittemann, Luise Kärger

    last change: 2024-04-26
    KIT – The Research University in the Helmholtz Association
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