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management, and federal compliance processes. Learning Objectives: Through this fellowship, the participant will have the opportunity to: Learn to analyze and interpret complex engineering drawings and
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computational frameworks for regulatory assessment. You will also gain experience in regulatory toxicology assessment, computational modeling methodologies, and FDA's drug evaluation processes. Additionally, you
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to: Participate in sample collection from plants grown in the lab, greenhouse and field, To process samples for DNA extraction and microbial 16S rRNA sequencing library preparation, To learn about standard
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interdisciplinary research team, the successful applicant will gain invaluable hands-on experience to all phases of the research process. This includes opportunities in: Elucidating molecular mechanisms/pathways
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obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.HQPostdoc@orau.org and include
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additional questions about the application process, please email ORISE.ARS.Southeast@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should have received
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. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process please email ORISE.USFS.PSWRS@orau.org and include the reference code
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about the application process, please email ORISE.ARS.Midwest@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing a master's
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experience in managing research projects. Air, Manure, Plant, Soil, and Water Sample Collection and Analysis: The participant will be trained in the collection, processing, and analysis of air, manure, plant
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production systems. They will have the opportunity to learn how to program and maintain field based infrared gas analyzers, how to assess data quality, and to post-process, and analyze high-frequency EC data