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Revision as of 19:31, 11 March 2011

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Post-doc Positions in Computational Biology at University of Arizona

Description
The laboratory of Dr. Xiangfeng Wang invites applications for post-doc positions in School of Plant Sciences at University of Arizona. The research interests in the Lab focus on developing computational models to facilitate high-throughput sequencing-based analysis of genomics, epigenomics in plants. Two prospective ongoing directions the candidates may be interested:
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1. Identification of transcription factors in maize seed development
We are currently using Illumina RNA-seq to profile the transcriptome in maize seeds. The goal is to identify the important transcription factors controlling the endosperm development. The significance of this project is to fundamentally improve the seed yield, human nutrition, biomass and bioenergy production. From the methodological perspective, the candidate will design algorithms to module the regulatory network using integrative gene expression and epigenomic data and to discover novel TF motifs. For details, please check “Research” in Wang Lab website.
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2. Epigenomic regulation of maize endosperm development
We are also producing ChIP-Seq data of an array of epigenetic marks in maize endosperm. The goal is to understand the epigenetic mechanism underline the endosperm development. We are currently working on a new computational approach to genome-wide search for the epigenetically imprinted genes. The methods will be expended to other plant organisms. For details, please check “Research” in Wang Lab website.
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Requirements
The ideal applicants should:
Have Ph.D in Bioinformatics, Computer Science, Biology or other related fields
Have strong programming skills on Python, Perl and R.
Have experiences in analyzing microarray, ChIP-Chip, ChIP-Seq and RNA-Seq data or relevant computational genomics experiences.
The interested applicants should send his C.V, available date joining the Lab, reprints of first author publications and names of three references to xwang1@cals.arizona.edu