Postdoctoral Associate<https://apps.hr.cornell.edu/recruiting/facultyview.cfm?posting_id=_Postdoctoral-Associate---Plant-Breeding-and-Genetics-Section--School-of-Integrative-Plant-Science_WDR-00008003-2> - Plant Breeding and Genetics Section, School of Integrative Plant Science
Position Function
A postdoctoral associate position is available to work in the area of quantitative genetics and genomics in the Plant Breeding and Genetics Section at Cornell University. The position will be part of the NSF PGRP-funded project titled "Genomic Analysis of Leaf Cuticle Development and Functional Diversity in Maize." This position involves studying the genetic basis of water loss or transfer across adult maize leaf cuticles (cuticular evaporation) through a genome-wide association study in a maize diversity panel. In addition, this position involves the application of RNA-Seq for identifying eQTL related to quantitative variation for leaf cuticular evaporation, along with the investigation of relationships between cuticle characteristics, cuticle-related traits, and drought tolerance. The ideal candidate will have expertise in quantitative genetics, genomics, and computer programming. Responsibilities will include independent research in the analysis of next generation sequencing data, complex trait dissection and prediction, and training scientists and students. The position will involve close collaboration with a dynamic team of plant geneticists, biochemists, and developmental biologists.
Requirements
A Ph.D. in plant breeding, genetics, physiology or related discipline with extensive training in molecular biology and statistical genetics methods. Programming skills (R/Java/Python) and working knowledge of RNA-Seq analysis, genome-wide association studies, and machine learning approaches. Excellent interpersonal and communication skills with a strong publication record.
Preferred qualifications
A record of publication in the field of plant quantitative genetics and genomics. Knowledge of plant development, physiology and molecular biology practices. Experience with the generation, integration and analysis of genotypic, transcriptomic and metabolomic data sets.
Supervision Exercised
The position will include some supervision of undergraduate students involved in research on the project.
Anticipated Division of Time
Studying the genetic basis of leaf cuticular evaporation in maize
40%
Developing and implementing statistical genetics approaches to synthesize results from the integration and analysis of genotypic, transcriptomic, physiological, and metabolomic data sets
40%
Participation in preparation of annual reports and publications
10%
Formal and informal training of lab members and collaborators in statistical genetics and genomics
10%
How to Apply
A letter of interest in the position, C.V., and contact information for three references should be emailed to Michael Gore at: mag87 from cornell.edu<mailto:mag87 from cornell.edu>
Review of applications will begin immediately and continue until the position is filled.
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