Hello EVOLDIR members

Enhancing your analytical toolkit with advanced computational methods can significantly accelerate your ongoing evolutionary research. Machine Learning for Computational Biology 4.0 is a seminar livestreaming July 30, led by Nikolay Oskolkov (Lund University). This workshop provides evolutionary biologists and geneticists with hands-on training in implementing machine learning algorithms from scratch using R and Python. By mastering neural networks, random forests, and Markov Chain Monte Carlo (MCMC) methods, researchers can more effectively analyze complex genomic datasets, model evolutionary pathways, and perform population genetic clustering. These practical computational skills will enable you to resolve intricate biological patterns and accelerate your research in molecular evolution and genomics.

Sign up today (https://instats.org/seminar/machine-learning-for-computational-biolo-4) to register, and we would appreciate you sharing this with colleagues and students who might benefit!

Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org

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