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Date: Tue Oct 8 14:42:29 2019
Subject: 19.10.08 Postdoc in Deep Learning / Drug Discovery, University of North Carolina at Chapel Hill
The group of Computational biophysics and Molecular design (Kireev lab) is 
looking for a creative scientist to (i) develop cheminformatics and drug-
design tools, (ii) perform basic research in computational biophysics, and 
(iii) contribute to multidisciplinary projects in the Center for Integrative 
Chemical Biology and Drug Discovery (CICBDD).  Specifically, this position 
will focus on creation of high-quality in vivo chemical probes for less 
explored Alzheimer Disease targets that can advance understanding of the 
pharmacologic intervention points most likely to lead to new drugs for this 

Applicant must have a Ph.D. degree relevant to computational 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 expected 
to have a broad interest in biomedical sciences.  Specific skills include 
simulation and modeling software (Gromacs, NAMD, Shrodinger suite), 
programming (C++, Python, Matlab), data mining and machine learning 
(Pipeline Pilot, R, Matlab, Caffe).  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.
Please apply at
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