This USDA funded Vitisgen project seeks to apply high-throughput DNA/RNA sequencing and phenotyping to develop next generation of genomics based grape breeding platform (http://www.vitisgen.org). The project is a multi-institution research collaboration with a goal of development of new hybrid grape varieties. The incumbent in this position is expected to collaborate closely with a multi-discipline team of plant breeders, molecular and quantitative geneticists, and carry out bioinformatics analysis of genomics data created from the project.
A postdoctoral associate position is available immediately in the Bioinformatics Facility of Cornell University's Biotechnology Resource Center. The successful candidate is expected to work full time on the bioinformatics data analysis of genomic data generated from the Vitisgen project, including but not restricted to whole genome de novo assembly of multiple grape germplasms, whole genome alignment, construction of pan-genome graph and pan-genome graphs based genetic marker development for breeding, as well as QTL mapping. The candidate will work closely with a team of experimental biologists who will generate data and verify the results, grape breeders from multiple wine, table and raisin grape breeding programs across the US. The research area includes de novo whole genome assembly, pan-genome graph construction, et al. There will be opportunities for the incumbent to improve bioinformatics data analysis skills and gain experience on many different large-scale biological platforms data analysis, by learning from an active genomics and plant breeding community at Cornell.
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