Dear all, there are 2 seats left for the Physalia online course Multidimensional Phenotypic Evolution, taking place from 10 to 14 Marc. This course will provide researchers with a comprehensive introduction to techniques for analyzing multidimensional phenotypic traits, including both morphometric (e.g., geometric morphometrics) and non-morphometric (e.g., gene expression) data. The course will cover key methods to explore variation in multidimensional traits at both microevolutionary and macroevolutionary scales. Participants will receive theoretical training and hands-on experience with widely used and specialized techniques, including principal component analysis, phylogenetic comparative methods, allometry, modularity, phenotypic integration, macroevolutionary modeling, and QTL analysis. This course is designed for beginners and intermediate users interested in analyzing geometric morphometric data or other multidimensional phenotypic datasets. No prior experience with R is required, but basic statistical knowledge is recommended. Hands-on sessions will primarily use geometric morphometric example datasets, but the course will also provide guidance on applying these techniques to other types of phenotypic data. For more information and to register, please visit: [ https://www.physalia-courses.org/courses-workshops/mpe/ ]( https://www.physalia-courses.org/courses-workshops/mpe/ ) If you have any questions, feel free to contact us. Best 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-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
