"Post Doctoral Research Scholar"

Post Doctoral Research Scholar

Company: North Carolina State University

Job Location: Raleigh, NC

Category: Plant and Soil Science

Type: Full-Time

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Position Number: 00111601

Essential Job Duties: The Department of Crop and Soil Sciences encompasses various disciplines in research, extension, and teaching. The department's mission is to develop future leaders in crop, soil and environmental sciences, improve crop plants and products, devise effective and sustainable crop production systems, devise effective and sustainable soil management techniques in both agriculture and urban settings; and disseminate crop, soil, and environmental science knowledge for the benefit of users and producers of food, feed turf, biofuels and fiber in North Carolina, the nation and the world.

We are recruiting a postdoctoral scholar who will conduct research focused on understanding genotype-by-environment interactions, and/or environmental adaptation using quantitative/statistical genetics and machine learning. Alternatively, we are also considering candidates who have molecular biology experience, with an interest in scaling translatomic methods (e.g., Riboseq) to understand how sequence variation impacts translation efficiency. The postdoctoral scholar is expected to work in maize or other crop plants and to generate and analyze datasets from high throughput phenotyping and/or genomic, transcriptomic, or translatomic sequencing data. Due to the nature of funding, the scholar will have considerable flexibility to define their research trajectory. The scholar will also have the opportunity to develop professionally through mentoring students, writing manuscripts or grant proposals, and communicating research findings.

Please contact Joseph Gage (jlgage@ncsu.edu) with any inquiries about the position - we encourage inquiries or applications even if you are uncertain whether you meet all the posted job requirements.

Departmental Required Skills:

• PhD in quantitative, statistical, and/or molecular genetics; genomics; plant breeding; and/or bioinformatics; or similar/related field.
• Experience in quantitative genetics, genomics, plant breeding, bioinformatics, statistical genetics, and/or molecular genetics.
• Programming experience in R, Python, bash, or similar programming languages

Preferred Experience, Skills, Training/Education:

• Experience building, training, and interpreting results from machine learning models
• Fundamental knowledge of statistics and experimental design/analysis
• Experience with high-performance Linux computing environments

Necessary Licenses or Certifications: n/a

Department: 110901 - Crop and Soil Sciences