Dear all, We are pleased to announce the upcoming Physalia online course “Machine and Deep Learning Methods in Population Genomics and Phylogeography” taking place from 23 to 26 March. 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-genetics mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
