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learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine learning approaches, develop an expertise in
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about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
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) including rare earth elements and their derivative products. Energy Jobs: Provide research on and support initiatives to ensure the U.S. has the workforce needed to meet the needs of the evolving U.S. energy
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with associated persistent functional deficits, presents pervasively, with representation in ~50% of total war injuries, and is a leading factor in the decision to amputate with 80% of the surgical
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
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. The participant will be a part of method development, validation and application of novel methods for analysis of per- and polyfluoroalkyl substances (PFAS) in food and food packaging, develop and validate new
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of aflatoxin and resistance to insect damage using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about
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will give the participant exceptional hands-on knowledge and skills involving the use of synthetic methods for chemical modifications, as well as bench and pilot scale reactions that will be invaluable
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management as well as its institution for technical professional continuing education. A component of Air University and Air Education and Training Command, AFIT is committed to providing defense-focused