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interactions from every perspective—molecular, microbe, and natural host. For more information about the Agricultural Research Service (ARS) Research Participation Program, please visit the Program Website
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architecture trait identification. The overall objectives of the project include: Deep understanding of plant water relations to extreme environmental stresses. Hands-on experience in measuring leaf gas exchange
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towards the development of improved rootstocks for pear production. Research Project: The overall goal of this research project is to characterize root system architecture and root developmental traits
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for key stored-product pest species using long-read sequencing and advanced annotation methods, enabling comparative genomic analyses to determine how variation in gene content and genome architecture
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scientists and subject matter experts. The opportunity also includes educational exposure to generic drug user fee program planning, workflow analysis, process documentation, and knowledge management
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the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What
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and soil assessment, hydrologic monitoring, remote sensing, GIS applications, and processed-based model calibration. The program is designed to develop you into an independent researcher capable
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nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable
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to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research Participation Program