Interpretable Machine Learning Spring School

[Manfred Claassen]

Apply Now for the Interpretable Machine Learning Spring School!

In spring 2026, join a selected group of ambitious scientists and dive into the cutting edge of interpretable machine learning. Discover how to unlock powerful insights from complex data types — from single-cell biology to radiological imaging to natural language.

You'll work side by side with world-class researchers in hands-on, interdisciplinary projects using real-world multimodal datasets. Explore how machine learning can reveal hidden patterns with real translational impact, and help shape the future of biomedical research.

Whether you're a budding computational biologist, data scientist, or clinical researcher — if you’re passionate about making machine learning interpretable and impactful, this is your moment.

Spots are limited — apply now!

For more information and registration please visit https://uni-tuebingen.de/en/279708