Postdoctoral Research Associate Plant Genomics

    • Application Deadline
      Deadline:
      15 May 2017
      (application date has expired)
    • Job Salary
      £47,500 to £50,000
    • Contact Name
      Contact:
      Torbert Rocheford


    Postdoctoral Research Associate Position

    Research involves genomic and phenotypic approaches in the genetic study of maize tassel and ear inflorescence architecture. Funding is from a multi-institutional NSF Plant Genome Research Program grant on natural variation and drought responses in developing maize inflorescences. Different approaches are being pursued. Fine mapping of tassel branch number and ear row number QTL using heterozygous inbred families (HIFs) derived from the Nested Association Mapping Population (NAM) has been performed and has precisely defined a number of QTL intervals. A large phenotypic dataset of inflorescence architectural traits has been collected on the Ames panel of over 2500 maize inbreds grown in multiple environments and is ready for Genome Wide Association Study and Genomic Prediction analyses. The two genetic resources are complementary as candidate genes in fine mapping intervals will be tested on the Ames panel through GWAS. This might involve some gene specific marker development for candidate gene analysis as needed. There will be some interaction with the drought stress experiments on inflorescence development. The position is based in Department of Agronomy at Purdue University. Travel to the annual grant group meeting is likely. Gaining a better understanding the genetic basis of inflorescence architecture will complement studies on effects of early season drought on developing inflorescences, and recovery response of inflorescences when drought treatment ends.

    Qualifications: A Phd is required, with flexibility in discipline, which could be an agricultural, statistical, or biological area. A strong background in statistics and quantitative genetics is one suitable background. A strong background in molecular genetics and wet lab skills and experimentation is also suitable. Other backgrounds and willingness to learn is also suitable. The project will involve statistical analysis of marker based data with field phenotypic data, thus opportunity to learn and grow in the area you have less expertise. There is good opportunity to attend workshops and short courses to learn complementary needed skills and expertise.

    To apply, please send resume and names, email and telephone number of three references to Torbert Rocheford, Department of Agronomy, Purdue University, [email protected]. Any questions, please feel free to send an email or call 765-494-9243, or cell 217 417 5093. Applications are being taken now and will be considered until a suitable candidate is identified. Purdue is an equal opportunity employer.


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