Aktuelle Seite: Startseite » Veranstaltungen » Spring School 2026 — Interpretable Machine Learning Models in Biomedicine
Spring School 2026 — Interpretable Machine Learning Models in Biomedicine
Ready to shape the future of biomedical research?
Join our Interpretable Machine Learning Spring School and dive into cutting-edge methods for analyzing multimodal data — from single-cell biology to radiological imaging and clinical data.
- When: March 2 — 6, 2026
- Where: Conference Center at Heiligkreuztal Monastery
Gain insights from top-tier researchers coming out of one of Europe’s most influential AI research hubs.
- Manfred Claassen: University of Tübingen, https://claassenlab.github.io
- Carsten Eickhoff: University of Tübingen, https://health-nlp.com
- Kerstin Ritter: University of Tübingen, Hertie Institute for AI in Brain Health, https://hertie.ai/machine-learning
Expect inspiring lectures, hands-on workshops, and interdisciplinary collaboration.
- Apply now: https://uni-tuebingen.de/de/279708
- Cost: €480 / €360 (early bird)
- Application Deadline: November 20, 2025 (early bird: October 20, 2025)
Spots are limited — don’t miss your chance to be part of this exciting journey!
–
We are looking forward to receive your application!
The IBMI Spring School Team
Institute for Bioinformatics and Medical Informatics (IBMI)
University of Tübingen