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use a range of spatial and analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management
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. Degree must have been received within the past five years or anticipated to be received by 5/31/2026. Preferred skills: R, Python, and Microsoft software Statistical analysis tools. Familiarity with ArcGIS
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analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management, keeping accurate notes, and
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food security. The overarching goal of this project is to develop gene regulatory networks (GRNs) for soybean resistance responses to a variety of pathogens including Asian soybean rust, Phytophthora
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-tech (Geneva Campus), and USDA-ARS scientists. Research will be published in open-access, peer-reviewed journals relevant to the field, as well as communicate with research networks within the scientific
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software. Familiarity with ArcGIS and statistical analysis tools is also advantageous. Experience calibrating, deploying, and maintaining meteorological, soils, and plant monitoring instruments and
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team-based research efforts, such as designing and conducting experiments and performing data analysis Gaining experience with the design of rigorous experimental paradigms, experimental software
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well as opportunities to network with university and industry collaborators and attend and present at national conferences. Mentor(s): The mentor for this opportunity is Jennifer Wilson (jennifer.wilson3@usda.gov
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Influenza Research and Response (CEIRR) as part of the NIH NIAID CEIRR collaborative network (https://www.ceirr-network.org/centers/penn-ceirr ). The participant will have the opportunity to attend local and
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. Through these experiences, it is anticipated that you will learn how to: Operate and develop custom aerosol generation equipment including software modifications for associated chambers. Operate