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Postdoctoral Bioinformatics and Computational Biology Place
University of Arizona
Tucson, Arizona, United States

Demands:

The best applicants need to:

• Have Ph.D in Bioinformatics, Laptop or computer Science, Biology or other linked fields.
• Have strong programming skills on at minimum one particular programming language of Python, Perl or R.
• Have experiences in analyzing microarray, ChIP-Chip, ChIP-Seq and RNA-Seq data or related computational genomics encounters.

Abstract:

The laboratory of Dr. Xiangfeng Wang invites programs for post-doc positions in College of Plant Sciences at University of Arizona

Description:
The laboratory of Dr. Xiangfeng Wang invites apps for submit-doc positions in School of Plant Sciences at University of Arizona. The investigation interests in the Lab target on creating computational designs and bioinformatic resources to interpret and integrate various epigenome and transcriptome next-era sequencing information in plants, generally in maize and rice. The productive candidate will be expected to use bioinformatic equipment and produce unique algorithms for a greater comprehension of the epigenetic mechanisms underlying the plant seed and endosperm growth. The recruited postdocs will take part in two ongoing tasks:

one. Identification of transcription elements in maize seed improvement
We are at present utilizing Illumina RNA-seq to profile the transcriptome in maize seeds. The objective is to discover the critical transcription aspects managing the endosperm growth. The significance of this task is to fundamentally boost the seed yield, human nutrition, biomass and bioenergy production. From the methodological viewpoint, the candidate will design and style algorithms to module the regulatory network by integrating the gene expression information and epigenomic info. We will use nucleosome dynamics to enhance the discovery of novel TF and regulatory motifs. For specifics, please examine “Research” in Wang Lab website.

two. Epigenomic regulation of maize endosperm development
We are also producing ChIP-Seq information for a mix of activating and silencing epigenetic marks in maize endosperm advancement. In addition to the biological aim of comprehending the epigenetic mechanism underlying the endosperm improvement, we are also interested on building new computational techniques to: one) boost gene prediction utilizing activating epigenetic marks 2) genome-extensive search for the epigenetically imprinted genes by an modern technique. The unique algorithms will be ultimately implemented as bioinformatic tools and database assets for the gene imprinting research in other plant organisms. For specifics, please check out “Research” in Wang Lab web site

How to Utilize:
The interested applicants could send his C.V, reprints of 1st author publications, and names of three references to xwang1(at)cals.arizona.edu. At the same time, the applicant ought to also apply on the web at http://www.hr.arizona.edu/ by looking the job range 46179. More details about the Lab is obtainable at http://xwang.openwetware.org/

Application Deadline: 01-06-2011
source: http://www.occupation.edu/index.php?submit_id=9027