Applications are now open for the Machine Learning for Molecular Sciences Workshop at the University of Minnesota Twin Cities. This workshop will provide an overview of machine learning tools applied to study molecular systems with a focus on computational molecular science. It will feature a mix of lectures and hands-on exercises running machine learning algorithms with molecular simulations on national supercomputing resources. Eligibility Graduate students Undergraduate students (junior/senior standing) Postdoctoral Early career faculty Visit https://www.

Applications are now open for the Molecular Dynamics Summer School at Boise State University. Classical molecular dynamics and molecular modeling are essential modeling tools for materials including proteins, polymers, and ionic liquids, in applications ranging from pharmaceutical development to materials science. This course will present a theoretical and practical introduction to classical statistical mechanics and molecular modeling on high-performance computers. The open source software GROMACS and LAMMPS will be used for hands-on tutorial sessions.

A new NSF grant has helped to establish the Institute for Computational Molecular Science Education, which will help train the next generation of molecular scientists and engineers in the computational techniques such as molecular dynamics, Monte Carlo methods, data science and machine learning that are defining the future of the field. “Having the discipline-specific knowledge is important, but everything is pointing toward a future where being able to work with data, algorithms and artificial intelligence is going to be highly valued,” Rai said.