A post-doc position in machine learning with application to computational biology is available at the University of California at Merced on the NSF funded project New Tools for Characterizing Protein Dynamics.
This project is a multi-disciplinary collaboration between Professor Shawn Newsam in Electrical Engineering & Computer Science and Professors Michael Colvin and Ajay Gopinathan in Physics & Chemistry.
The goal is to develop computational tools for analyzing molecular dynamics (MD) simulations of proteins, particular of disordered proteins that never fold into a fixed structure but are thought to perform their biological function through their dynamics. Experimental
observation of these proteins is limited so computer simulation through MD and other techniques plays a key role. The challenge is in analyzing the large amounts of data that result from the simulations.
The candidate will work on developing novel machine learning and other knowledge discovery techniques in computer science to analyze the output of the computer simulations.
More about the project can be found at:
http://vision. ucmerced. edu/projects/ protein/
More about the NSF award can be found at:
http://nsf.gov/ awardsearch/ showAward. do?AwardNumber= 0960480
Candidate Qualifications:
* Recent Ph.D. in Computer Science with a strong publication record.
* Required: experience in complex data analysis through machine learning, data mining, pattern recognition, etc.
* Preferred: interest or experience in computational biology.
The position is available to be filled as soon as possible. The duration is one year with a possible one year extension. Interested candidates please send your CV to Professor Shawn Newsam (snewsam@ucmerced. edu) by Nov. 15, 2012.
Application Deadline : 15 November 2012
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Posted on 2012-10-19 18:48:42
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