Academic

The Computational Laboratory of Integrative Genomics at University of Southern California seeks a PhD in data mining or related field for a two-year postdoctoral position to develop algorithms for the integrative analysis of large-scale genomic data repositories.

Candidate Qualification:

• Strong background in algorithm design or statistical inferences
• Prior experinces in mining structured data (e.g. graphs)
• An interest or experience in biomedical applications, preferably with experience in microarray analysis

More information can be found at: USC Computational Biology division http://www.cmb.usc.edu Computational Laboratory of Integrative genomics http://zhoulab.usc.edu

For examples of our previous projects please refer to the following publications:

• Zhou XJ et al. Functional annotation and network reconstruction through cross-platform integration of microarray data. Nature Biotechnology 2005 Feb;23(2):238-43.
• Hu et al Mining coherent dense subgraphs across massive biological networks for functional discovery. Bioinformatics 2005, 21: 221-231
• Zhou X et al. Transitive Functional Annotation By Shortest Path Analysis of Gene Expression Data. Proc Natl Acad Sci USA. 99:12783-12788