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RESPONSIBILITIES
Conduct novel bioinformatics research to explore the sequence-structure-function-stability relationships using the machine learning approaches. Activities include analyzing and mining public and in-house protein data and discover structure and sequence patterns relevant to the biological problems under study. Also, developing novel data mining algorithms for large scale data mining projects. Duties include developing computer programs for biological data classification, regression and clustering analysis. Main focus will be in the area of proteomics.REQUIREMENTS
- PhD in bioinformatics or computer science
- 3 years exp in computer programming using at least 2 of the following languages: C, C++, Java, Perl
- Ability to perform bioinformatics or computational biology research, especially in protein sequence and structure data mining, as shown by as primary author of at least 3 peer reviewed publications in these fields
- 2 yrs exp in applying statistical and/or data mining techniques to research problems using R, Matlab, and Origin computing software packages
PREFERENCES
- Evidence of ability to work independently with attention to detail
- Demonstrated ability to work successfully in a team-based environment
- Good Communication and writing skills
TERMS
Full time (40 hours per week) - limited term 1 year with the option to renew
LOCALE: University of Kansas, Lawrence KS
COMPENSATION: $33,000 - $35,000/yr. plus benefitsHOW TO APPLY
Go to https://jobs.ku.edu, unclassified professional staff, position 00067308
DEADLINE: Sept 8, 2010
Discussion forums: Opportunity: Post Doc, Applied Bioinformatics Lab (#00067308) @ University of Kansas--Lawrence, KS (US)
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