The Associate Scientist in bioinformatics will lead computational approaches to utilize next-generation sequencing data in wheat. Research will include developing bioinformatics pipelines for whole-genome and reduced representation sequencing, interpreting large genomic datasets, characterizing genetic diversity and population structure, developing whole-genome prediction models and genome-wide association mapping for wheat improvement. The scientist will analyze whole genome sequence and genotyping-by-sequencing data of wheat, integrating genomic and genotyping resources for molecular breeding and improved assembly and anchoring of the wheat genome. The associate scientist will lead preparation of scientific manuscripts reporting research methodology, results and interpretations.
For more information, contact Plant Pathology
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08/01/2014 Position open for application, until filled. Download job description
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