We are looking for a creative scientist for the development and application of novel techniques in computational biophysics and drug design. The major focus will be on artificial intelligence, structure-based design and multi-scale molecular simulations. You will provide a major contribution to multidisciplinary projects in collaboration with experimental groups at the University of Missouri – Columbia, University of Utah and the University of North Carolina at Chapel Hill. Therapeutic areas include cancer, aging and neurologic disorders and involve innovative biomolecular targets.
PhD in Computational Chemistry or related disciplines is required.
You are expected to have a broad interest in computer applications to biomedical sciences and chemistry. Advanced knowledge and skills in deep learning, data processing, and structure-based approaches would be a significant advantage. Experience in statistical physics, thermodynamics, molecular simulations, chemoinformatics and general molecular modeling will be highly appreciated. You are encouraged to apply if you have any of the following specific skills: simulation and modeling software (Gromacs, NAMD, Shrodinger suite), programming (C++, Python), data mining and machine learning (Pipeline Pilot, R, Matlab, PyTorch). You must display outstanding motivation and commitment to research in a fast-moving and competitive field. Excellent personal skills and the ability to work in a multidisciplinary team setting are essential.
More Information on Dr. Kireev and his research: https://chemistry.missouri.edu/people/kireev or https://www.researchgate.net/profile/Dmitri_Kireev
This position is eligible for University benefits: http://www.umsystem.edu/totalrewards/benefits.
The University of Missouri is fully committed to achieving the goal of a diverse and inclusive academic community of faculty, staff, and students.
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