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Postdoctoral Positions in Metagenomic Informatics

Microbes play fundamental roles in all biology-associated processes on the planet. A powerful new tool in such studies is metagenomics wherein one uses high throughput DNA sequencing methods on DNA isolated directly from environmental samples. Metagenomics has the potential to revolutionize our understanding of the normally hidden yet incredibly important world of microorganisms. However this great potential comes with enormous challenges in the analysis of the sequence data, including (i) the fragmentary nature of sequence data, (ii) the sparse sampling of genomes, populations and communities, and (iii) the unknown phylogenetic diversity and ecological structure of the communities being sampled.

We are seeking five post-doctoral scientists and a software engineer to work on methodology for analysis of metagenomic data as part of a new collaborative project: Integrating Statistical Evolutionary, and Ecological Approaches to Metagenomics (iSEEM). The iSEEM Project, funded by the Gordon and Betty Moore Foundation, takes an integrated, interdisciplinary approach to metagenomic analysis. We will be working with the Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) to make any methods we develop available to the broader community. The project spans three labs, each with different areas of focus and two institutions (UC Davis and U Oregon). Each position will be associated with one of the PIs at their home institution.

Qualifications Postdocs: Applicants should have a PhD in a biological, computational, mathematical, or statistical field, and an interest in working at the interface between the quantitative and biological sciences. Software engineer: Applicants should have substantial experience with bioinformatics tools and databases.

Term Appointments will last 2 years beginning in Summer 2008.

To apply Please apply by email to and include: (1) a brief cover letter explaining your background, career interests, and preferred geographical location for work (if any), (2) CV (including publications), (3) names and contact information for three references.

All applications will be evaluated by all PIs. The locations of hires will be determined mutually by the applicants and the PIs. We will evaluate applications as they arrive, until the positions are filled.

The Labs Jonathan A. Eisen (UC Davis) U. C. Davis Genome Center Center for Population Biology Section of Evolution and Ecology Department of Medical Microbiology and Immunology

Jessica L. Green (U Oregon) Center for Ecology and Evolutionary Biology Department of Biology

Katherine S. Pollard (UC Davis) U. C. Davis Genome Center Center for Population Biology Department of Statistics