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Date: Thu May 4 13:27:27 2017
Subject: 17.05.04 Computational Chemist on D3R Project at UC San Diego
A postdoctoral position is available working on the NIH-funded Drug Design 
Data (D3R) project ( D3R collects hitherto unpublished 
protein-ligand structure and affinity datasets and uses them in blinded 
community prediction challenges, as a basis for validating and improving 
methods in computer-aided drug design. We also continue to develop the 
Continuous Evaluation of Ligand-Protein Predictions (CELPP) challenge, 
an automated, weekly, pose-prediction challenge based on weekly releases 
of new co-crystal structures by the PDB. 

UCSD provides a superb environment for integrative scientific research, 
as the health sciences, chemistry, physics, engineering, supercomputing, 
and other departments and resources are all located within walking distance 
on a single campus.  UCSD is a major center for research and training in 
molecular modeling, with multiple leading modeling and computational 
chemistry laboratories on campus.

Candidates should have a Ph.D. in computational chemistry or a related 
field, be willing and able to work effectively as part of collaborative 
team, have strong knowledge of methods and issues in structure-based drug 
design, and have strong programming or scripting experience and excellent 
spoken and written communication skills.  Salary will be based on 
experience, in compliance with all UC and NIH policies. 

To apply, please send a current CV and a brief statement of research 
interests and career goals, which may be incorporated into a cover 
letter, to Please use the email subject line 
D3R postdoc application. UCSD is an EO/AA employer.

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Modified: Thu May 4 17:27:27 2017 GMT
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