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Position Title: Postdoctoral Research Associate in Plant Breeding and Genomic Prediction Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking a
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, Genomics, Genetics, or equivalent. Experience working in plant model systems A demonstrated track record of publishing independent research, including at least one first-author peer-reviewed manuscript
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pangenomics and population diversity, with opportunities to contribute to similar analyses in other crop systems, including cotton. Required Minimum Qualifications: PhD in Plant Biology Experience conducting
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science, and soil science. The successful candidate will contribute to innovative research on soil-plant interactions while developing new skills in a collaborative and supportive research environment. Key
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collaboration with interdisciplinary teams spanning artificial intelligence, engineering, agriculture, plant and animal sciences, and cybersecurity. The scholar will also contribute to TrAC’s education and
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to understand the molecular mechanisms of life. Our department features research programs in a broad range of disciplines. Specifically, we have strengths in structural biology and biophysics, plant biochemistry
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imagery, and conduct APSIM simulations to address research questions related to crop physiology, plant breeding, nitrogen management, water quality, crop rotations, and predictive agriculture. The position
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metabolomics datasets. Research activities will include both targeted and non-targeted metabolite profiling of a wide range of sample types, including animal models, human cell lines and cohorts, plants
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, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email [email protected] . General ISU compensation information can be found on the University Human Resources website
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of strengthening the links between microbial cellular physiology, community dynamics, and ecosystem function. Our research focuses on plant–microbial interactions for sustainable bioenergy and nutrient cycling, as