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in applying process-based cropping system models to quantify the short- and long-term effects of these conservation practices on soil health and crop productivity for U.S. growers. This specific
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sensing and decision-making in poultry processing environments. Learning Objectives: Under the guidance of a mentor, the participant will gain knowledge and experience in: Applying hyperspectral imaging
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biologists, and computational scientists to understand and mitigate major disease threats to rice. Ongoing research addresses multiple pathogens and pests of economic importance, including rice blast, sheath
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(e.g., enhancers, promoters) in cattle. Customize bioinformatics pipelines for automated processing and analysis of short- and long-read sequencing data. Apply computational approaches to detect genetic
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plants. The participant will learn and use multiple molecular biology, synthetic biology and plant biotechnology related tools and techniques including plasmid vector design and assembly, plant genetic
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insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Northeast@orau.org
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Objectives: Through this fellowship, you will gain valuable hands-on experience and develop expertise in laboratory research and bioinformatics. You will have the opportunity to learn and enhance skills in
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of whole-plant physiological processes of herbicide-resistant weed populations with corresponding susceptible populations under controlled environmental conditions. These insights are important for
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available, including hardware focused on AI approaches which can be utilized by this project, including training and professional development opportunities in bioinformatics and data science and a large
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team of seasoned practitioners and well-established social science researchers to identify, engage with, and study wildland fire across multiple landscapes in the United States. They will help contribute