Spring School on Physics Informed Machine Learning for Medical Sciences

Datum:	07.04.2025, 09:00 - 11.04.2025, 15:00 Uhr
Kategorie:	Studierende, Tagung
Ort:	Am Schwarzenberg 15, Haus A15, 97078 Würzburg
Veranstalter:	Chair of Data Science at the University of Würzburg and German Heart Failure Centre (CHFC) in Würzburg
Vortragende:	Dr. Nicolas Behl, Prof. Amedeo Chiribiri, Prof. Florian Knoll, Prof. Tobias Wech

Vom 07. bis 11. April 2025 findet in Würzburg eine spannende Spring School statt. Im Fokus stehen die neuesten Entwicklungen physikbasierter neuronaler Netze (Physics-Informed Neural Networks, PINNs) und deren Anwendung in der medizinischen Bildgebung sowie der KI-gestützten Medizin.

We are happy to announce that the registration for our spring school to be held April 7-11, 2025 in Würzburg, Germany is now open!

The Spring School on Physics Informed Machine Learning for Medical Sciences is aimed at (but not limited to) Master Degree Students and early PhD Students in the fields of:

Computer Science
Deep Learning/AI/Machine Learning
Mathematics
Engineering (Medical, Electrical, …)
Physics
Medicine
Bioinformatics

The spring school will feature lectures and hands-on sessions on the topics of physics-informed machine learning, medical imaging, and applications of AI in medicine.

We welcome international students interested in these topics to register for the spring school. The event will be held from April 7-11, 2025, at the Comprehensive Heart Failure Center (CHFC) in Würzburg, Germany. There will be coffee and free food for the participants.

For more information about the spring school visit its homepage