Biomolecular simulations and machine learning

CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest.

- M. Karplus

Biomolecular simulations and machine learning

Michigan State University, East Lansing, MI, USA

Postdoctoral Research Associate positions are available to conduct computational research in the laboratory of Michael Feig in the Department of Biochemistry and Molecular Biology at Michigan State University.

The Research Associate will focus on biophysical topics related to the structure, dynamics, and interactions of biological macromolecules. The research is typically conducted in collaboration with other lab members and external collaborators.

Specific topics of current interests are:

• Phase separation and aggregation of biomolecules
• Crowding effects on enzyme function
• Modeling of bacterial microcompartments
• Development of machine learning methods for generating biomolecular dynamics
• Derivation of dynamic structural ensembles from experimental data

Minimum Requirements:

• Ph.D. in Biophysics, Biochemistry, Physical Chemistry, Computational Science, or related field.
• Research experience using computational techniques.
• Record of publishing in peer-reviewed scientific journals.
• Evidence of working independently as well as in a team environment.
• Computer programming skills.

Desired

Qualifications:

• Expertise in molecular simulation techniques.
• Expertise in machine learning approaches.
• Expertise in structural biology.
• Experience with python programming.
• Experience with using Linux environments.
• Experience with collaborations between computational and experimental researchers.
• Experience with mentoring students.

Please visit MSU's CAREER web page, (Use the "Apply for this Job" box below). and submit the following material: