Dear colleagues, We are organizing a new CAJAL Course on Neuroscience and AI. The course is an exciting opportunity for early-career researchers interested in NeuroAI. This intensive course will provide participants with hands-on training in deep learning, computational modeling, and AI-driven approaches to neuroscience research. Participants will work with an exciting line-up of world-class faculty to explore how AI can help model and understand brain function and behavior. 📅 Course Dates: 14 July - 1 August 2025 📍 Location: Champalimaud Foundation, Lisbon, Portugal ⏳ Application Deadline: March 7th 2025 💡 Stipends are available 🔗 Apply here: https://form.jotform.com/Cajal_training/neuroai-2025-applications Course Directors: Fabian Sinz - Georg August University Göttingen, Germany Leyla Isik - Johns Hopkins University, USA Mariya Toneva - Max Planck Institute for Software Systems, Germany Srini Turaga - HHMI Janelia Research Campus, USA Faculty Include: Jacob Yates – UC Berkeley, USA Martin Schrimpf – EPFL, Switzerland Maria Eckstein – Google DeepMind, UK Patrick Mineault – Amaranth Foundation, USA Carsen Stringer – HHMI Janelia Research Campus, USA Chris Summerfield – Oxford University, UK John Krakauer – Champalimaud, Portugal Memming Park – Champalimaud, Portugal Andreas Tolias – Stanford, USA Jonathan Pillow – Princeton University, USA Shailee Jain – UC San Francisco, USA Through hands-on tutorials and project work, participants will gain expertise in: Deep learning for vision and language (CNNs, transformers) Reinforcement learning algorithms State space models for neural time series Machine learning for biophysical models of neuronal circuits Please share with anyone who might be interested! Thanks for helping us spread the word! On behalf of the organizers, — Fabian Sinz — Dr. Fabian Sinz Professor for Machine Learning, Göttingen University Adjunct Assistant Professor, Baylor College of Medicine https://sinzlab.org/