Postdoc Position in Quantitative Genetics - Plant Breeding and Genetics Section at Cornell University
Postdoc Position in Quantitative Genetics at Cornell University
The School of Integrative Plant Science at Cornell University is seeking a highly motivated postdoctoral associate to conduct studies in the modeling of complex genotype-by-environment interactions and the implementation of genomic selection in crop breeding programs. The position is located in the Plant Breeding and Genetics Section. The successful applicant is expected to apply advanced modeling techniques to phenotypic, genomic, and environmental data to estimate genetic parameters related to plant responses to environmental stresses. In collaboration with the Gore lab at Cornell, the phenotypic data sets have been collected by ionomic and metabolomic profiling technologies, along with field-based high-throughput phenotyping systems built on the integration of imaging and robotic platforms. In addition to modeling plant stress responses, the position will work closely with collaborators at CIMMYT to optimize the implementation of genomic selection in African maize breeding programs.
The position is anticipated to start in February 2018 and the search will continue until the position is filled. Salary is competitive and commensurate with background and experience. Benefits package is included.
The position term is one year, renewable contingent on funding and performance.
Anticipated Division of Time Model development and data analysis 60% Breeding program design 20% Communication and coordination with Collaborators 10% Training of lab members and collaborators in quantitative genetics 10%
Requirements Requirements include a Ph.D. in plant or animal breeding, population genetics, statistics, computer science or computation-related fields with an interest in plant breeding applications.
Preferred Specific Skills Mixed models, Bayesian methodology, genomic selection, sequence alignment and variant calling methods, variant imputation methods, and programming experience in Fortran, C, or Python.
How to Apply: Candidates are encouraged to send a statement of research interest, curriculum vitae, and contact information for three references. Submit all application materials to Academic Jobs Online athttps://academicjobsonline.org/ajo/jobs/10671. Questions about the position can be addressed to Dr Kelly Robbinskrr73@cornell.edu.
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