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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
KCDS Talk: "How the brain works and why adaptive models matter" (Dr. Cihan Ates)
KCDS Talk: "How the brain works and why adaptive models matter" (Dr. Cihan Ates)
Cihan Ates
KCDS Virtual Open House - Project 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models
KCDS Virtual Open House - Project 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models
Ugur Cayoglu
KCDS Virtual Open House - Project 01 Logics for dynamical systems and practical theorem proving tools
KCDS Virtual Open House - Project 01 Logics for dynamical systems and practical theorem proving tools
André Platzer
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
KCDS Virtual Open House - How To Apply to KCDS
KCDS Virtual Open House - How To Apply to KCDS
Angela Hühnerfuß
KCDS Virtual Open House - Project 02 Deep Boltzmann - Structure-preserving deep neural networks to accelerate the solution of the Boltzmann equation
KCDS Virtual Open House - Project 02 Deep Boltzmann - Structure-preserving deep neural networks to accelerate the solution of the Boltzmann equation
Martin Frank
KCDS Virtual Open House - Project 06 Theoretical and Empirical Analysis of Matheuristics
KCDS Virtual Open House - Project 06 Theoretical and Empirical Analysis of Matheuristics
John Alasdair Warwicker, Marion Baumann