Dear all, I believe the upcoming Physalia online course titled “Machine and Deep Learning Methods in Population Genomics and Phylogeography” (23–26 March 2026) may be of interest and relevance to members of this mailing list. Please let me know if it would be appropriate to share a course announcement here or if there are any guidelines we should follow. Course website: [ https://www.physalia-courses.org/courses-workshops/deep-learning-in-popgen/ ]( https://www.physalia-courses.org/courses-workshops/deep-learning-in-popgen/ ) This course offers a comprehensive introduction to applying modern machine learning and deep learning techniques, including Convolutional Neural Networks (CNNs), to analyse complex genomic data for evolutionary and demographic inference. Participants will learn to simulate genetic data under different demographic scenarios, apply machine learning for population genomics, and use deep learning to detect selection signatures in genomic datasets. Sessions run daily from 14:00 to 19:00 (Berlin time) and include lectures, practical coding exercises, and real-world case studies. Kind regards, Carlo
-------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/[email protected]/
