Postdoctoral Researcher (Canola Quantitative Genetics) | Plant Breeding and Genetics | School of Integrative Plant Science, CALS
Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.
The School of Integrative Plant Science at Cornell University is seeking a highly motivated postdoctoral researcher. Responsibilities of the position include developing comprehensive genomic prediction methodologies and genetic evaluations in the context of an established, large-scale commercial canola breeding program. This position will work to develop, validate, and optimize prediction methodologies and procedures for immediate application in the Nutrient Canola Breeding Program. The overall research will involve development and application of statistical models for integrating contemporary genomic and phenotypic data, leading to optimized breeding strategies involving genomic selection (GS) and marker-assisted selection. Specific questions may include training population size and composition, selection of marker panels, optimal experimental designs, development of selection indices, development of statistical models that incorporate weather/climate and proximal sensing data; estimation of cost-benefit trade-offs associated with the introduction of GS into an existing breeding program and implementation of multi-year genetic evaluations. The successful candidate must have excellent oral and written communication skills and is expected to publish research results in peer-reviewed journals. The position will be based at Cornell University, Ithaca, NY, in the lab of Dr. Kelly Robbins.
Anticipated Division of Time Model development, simulation and data analysis 80% Communication and coordination with collaborators 20%
Qualification Requirements Ph.D. in plant breeding, animal breeding, genetics or related field; strong background in statistical/quantitative genetics; an understanding of the theoretical and computational methodologies used to analyze quantitative and molecular data for genomic prediction; strong interest in the application of GS to an applied variety development program; ability to work well across teams. Expertise in statistical programming languages (R, SAS, MATLAB, etc.).
Interested applicants should submit a CV, letter of interest, research statement, contact information for 3 references and a statement of contribution to diversity, equity, and inclusion via Academic Jobs Online at the following link: https://academicjobsonline.org/ajo/jobs/job/18644 . Review of applications will begin immediately and continue until a candidate is selected or applications must be submitted by 06/30/2021. If you have questions about this position, please email email@example.com.
Term of position This is a full-time (100% FTE) position and will be located in the lab of Dr. Kelly Robbins in Ithaca, New York. This is a one-year appointment with possible extension depending on available work, funding and performance.
The College of Agriculture and Life Sciences at Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.
The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and home to Cornell University's second largest population of students, faculty and staff. We work across disciplines to tackle the challenges of our time through world-renowned research, education and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy and environmental resources; and social, physical and economic well-being. CALS is fundamentally invested in improving the lives of people, their environments and their communities both in New York state and around the world.
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Internal Number: JOB_POSTING-3-37762
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