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KCDS How to prepare your application

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Autor

Angela Hühnerfuß

Herausgeber

Uwe Ehret, Martin Frank, KIT-Zentrum MathSEE

Beteiligtes Institut

KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE)
Scientific Computing Center (SCC)

Genre

Veranstaltung

Beschreibung

Meet KIT Graduate School Computational and Data Science (KCDS) and find out how to apply for one of our exciting PhD projects this fall!

Laufzeit (hh:mm:ss)

00:05:01

Serie

KCDS Virtual Open House 2023 - Fall

Publiziert am

07.11.2023

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz

Auflösung 1152 x 720 Pixel
Seitenverhältnis 8:5
Audiobitrate 65095 bps
Audio Kanäle 1
Audio Codec aac
Audio Abtastrate 32000 Hz
Gesamtbitrate 420312 bps
Container mov,mp4,m4a,3gp,3g2,mj2
Dauer 300.768000 s
Dateiname DIVA-2023-272_mp4.mp4
Dateigröße 15.802.071 byte
Bildwiederholfrequenz 25
Videobitrate 349000 bps
Video Codec h264

Embed-Code

KCDS Virtual Open House 2023 - Fall 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