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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0146 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete application consists of: An application Transcript(s) – For this opportunity, an unofficial...
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troubleshooting of nuclear physics experiments using particle accelerators, laser-based neutron sources, and other experimental facilities Enhance skills in data analysis relating to nuclear science and radiation
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analysis of the genetic architecture underlying the host association of concerned natural enemies, and; Conducting both laboratory-host specificity testing and genomic analysis of post-introduction
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and platforms. This mentorship opportunity thus offers research training in applied plant breeding techniques as well as genetic and statistical analysis of collected data. Learning Objectives: As an
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research. As a subordinate element of the U.S. Army Medical Development and Materiel Command (USAMRDC), the institute conducts research for development of medical countermeasures to treat exposure to various
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mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials. The participant will be a part of
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. Developing the research or test methodology, executing the research protocol or test plan, data collection, data analysis, and reporting the findings. Conducting data analysis using engineering software and
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scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The participant will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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with digital PCR, multiplex PCR, and microbial community analysis required. Participant will also learn about statistical analysis of data in consultation with ARS colleagues. Participant will be a part