Audio-/Videodatei publizieren

KCDS Virtual Open House

Autor

Uwe Ehret, Martin Frank

Beteiligtes Institut

KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE)

Genre

Veranstaltung

Beschreibung

Meet KIT Graduate School Computational and Data Science in our virtual open house! Find out more about the graduate school and current doctoral projects.

Publiziert am

31.03.2023

Fachgebiet

Informatik

Lizenz

Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International

Hinweis

Die Beiträge dieser Serie können Sie als Podcast abonnieren.

Embed-Code

<iframe width="640" height="360" src="https://medienportal.bibliothek.kit.edu/play/DIVA-2023-C3" allowFullScreen="true" style="border: 0; overflow: hidden;"></iframe>

Folgen 1-7 von 7

KCDS Virtual Open House - Introduction and presentation of KCDS

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 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models

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 01 Logics for dynamical systems and practical theorem proving tools

KCDS Virtual Open House - How To Apply to KCDS

KCDS Virtual Open House - Project 06 Theoretical and Empirical Analysis of Matheuristics