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KCDS Virtual Open House 2023 - Fall

KCDS Virtual Open House 2023 - Fall

Autor

Uwe Ehret, Martin Frank

Herausgeber

KIT-Zentrum MathSEE

Beteiligtes Institut

Steinbuch Centre for Computing (SCC)
KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE)

Genre

Veranstaltung

Beschreibung

Meet KIT Graduate School Computational and Data Science (KCDS) and find out about exciting PhD projects that our partner institutes are offering this fall!

Publiziert am

07.11.2023

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz

Hinweis

Die Beiträge dieser Serie können Sie als Podcast abonnieren.

Embed-Code

Folgen 1-6 von 6
KCDS How to prepare your application
KCDS How to prepare your application
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
Project 03: Mathematical Foundations of Bayesian Neural Networks
Project 03: Mathematical Foundations of Bayesian Neural Networks
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
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
KCDS Virtual Open House 2023 - Fall
KCDS Virtual Open House 2023 - Fall