Dear colleagues, Student and TA applications are open for Summer 2025 ! This is a great opportunity to learn computational concepts and modeling with students from around the globe. Courses are available in Computational Neuroscience, NeuroAI, Deep Learning and Computational Climate Science. You can apply as a student or a TA (TA positions offer financial compensation). Please share with students/postdocs and your departments. More information below. Thanks, Kate Bonnen Kathryn Bonnen Assistant Professor, School of Optometry Indiana University kbonnen@iu.edu<mailto:kbonnen@iu.edu> https://bonnenlab.github.io<https://bonnenlab.github.io/> -- We're thrilled to announce our lineup of immersive courses at Neuromatch Academy! Whether you're a student eager to dive into cutting-edge topics or a seasoned researcher looking to contribute as a Teaching Assistant, we have opportunities tailored for you. 3-week Courses (July 7-25): * Computational Neuroscience<https://neuromatch.io/computational-neuroscience-course/>: Explore the intricacies of the brain's computational processes and join an engaging community of learners. * Deep Learning<https://neuromatch.io/deep-learning-course/>: Delve into the world of artificial intelligence to uncover the principles and applications of deep learning. 2-week Courses (July 14-25): * Computational Tools for Climate Science<https://neuromatch.io/computational-tools-for-climate-science-course/>: Uncover the tools and techniques driving climate science research in this dynamic two-week course. * NeuroAI<https://neuromatch.io/neuroai-course/>: Explore the intersection of neuroscience and artificial intelligence through the lens of generalization. Application Info: * Close: Sunday, March 23rd, at midnight in your local time zone * Decisions: Mid-April * Requirements: * Students are expected to be familiar with Python and have foundational science skills in math/science. * Teaching Assistants should have strong Python skills and a background in the relevant topic. See the course pages for more information. * Link: Apply Here<https://portal.neuromatchacademy.org/> Additional Information: * All courses are synchronous but will be conducted exclusively online, providing flexibility and accessibility. * Participation fees are lower than those of other courses to make education affordable to everybody, no matter their financial background. They are also adjusted for national economic factors. Detailed information about course fees can be found here<https://neuromatchacademy.github.io/widgets/cola.html>. * Teaching Assistants will lead small groups of students, fostering collaborative learning. TA positions offer financial compensation; detailed rates can be found here<https://neuromatchacademy.github.io/widgets/ta_cola.html>. Don't miss out on this incredible opportunity to expand your knowledge, connect with experts in the field, and contribute to the success of our courses. Apply today and join us on a journey of discovery! Should you have any questions or need further information, feel free to reach out to us at nma@neuromatch.io<mailto:nma@neuromatch.io>. We look forward to welcoming you to the Neuromatch Academy family!