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Date: Fri Feb 26 12:17:41 2021
Subject: 21.02.26 Postdoc in Computational Drug Discovery, University of North Carolina, Chapel Hill
The group of Computational biophysics and Molecular design (Kireev lab) is
looking for a creative scientist to develop and apply novel techniques for
Computer-Aided Drug Design.  The major focus will be on artificial 
intelligence, structure-based and molecular simulation approaches.  You will
provide a major contribution to collaborative translational projects in the
Center for Integrative Chemical Biology and Drug Discovery (CICBDD).  
Therapeutic areas include cancer, aging and neurologic disorders and involve
innovative biomolecular targets.

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 expected
to have a broad interest in biomedical sciences.  Specific skills include
simulation and modeling software (Gromacs, NAMD, Shrodinger suite),
programming (C++ or Python), data mining and machine learning (Pipeline,
Pilot, R, Matlab, TensorFlow).  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.
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Modified: Fri Feb 26 17:17:41 2021 GMT
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