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KCDS Virtual Open House 2025, Fall edition: Project 01 - Estimation of short-term extremes in air pollution and their drivers
KCDS Virtual Open House 2025, Fall edition: Project 01 - Estimation of short-term extremes in air pollution and their drivers
V. Fasen, Hendrik Andersen
KCDS Virtual Open House 2025 - Introduction to KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE
KCDS Virtual Open House 2025 - Introduction to KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE
Uwe Ehret
Project 04: Replacement of chemistry simulation by machine learning in an Earth system model (doctoral position, employment at KIT)
Project 04: Replacement of chemistry simulation by machine learning in an Earth system model (doctoral position, employment at KIT)
oliver kirner
KCDS Virtual Open House 2025
KCDS Virtual Open House 2025
Angela Hühnerfuß
Non-intrusive calculation of homogenized material properties for non-periodic and non-linear microstructures (DAAD scholarship)
Non-intrusive calculation of homogenized material properties for non-periodic and non-linear microstructures (DAAD scholarship)
Luise Kärger, Roland Maier
KCDS How to prepare your application
KCDS How to prepare your application
Angela Hühnerfuß
Project 03: Mathematical Foundations of Bayesian Neural Networks
Project 03: Mathematical Foundations of Bayesian Neural Networks
Charlotte Debus, Sebastian Krumscheid
Project 04: Replacement of physical PSC simulation by machine learning in an Earth system model
Project 04: Replacement of physical PSC simulation by machine learning in an Earth system model
Ole Kirner, Jörg Meyer, Achim Streit
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Sebastian Krumscheid, Linus Seelinger
Project 01: Scholars in the loop? Bridging the gap between distinctive knowledge of small disciplines and training data for AI
Project 01: Scholars in the loop? Bridging the gap between distinctive knowledge of small disciplines and training data for AI
Germaine Götzelmann, Danah Tonne, Charlotte Debus
KCDS Virtual Open House 2023 - Fall
KCDS Virtual Open House 2023 - Fall
Eileen Kühn, Leonid Chaichenets
KCDS Virtual Open House - Introduction and presentation of KCDS
KCDS Virtual Open House - Introduction and presentation of KCDS
Uwe Ehret
KCDS Virtual Open House - Project 04 Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)
KCDS Virtual Open House - Project 04 Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)
Uwe Ehret, Sebastian Krumscheid
Von Starkregen und Sturzfluten - Mythen, Modelle und Management
Von Starkregen und Sturzfluten - Mythen, Modelle und Management
Uwe Ehret, Erwin Zehe