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to a motivated postdoctoral fellow interested in learning and using contemporary functional genomics approaches (CRISPR, RNAi, transgenics, etc.) to characterize the functions of genes involved in
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mission support personnel to learn the full OHS surveying process, gaining experience with equipment calibration, field study and collection, analysis requisitions, and report writing. You will participate
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findings will be encouraged and supported. Learning Objectives: The fellow will have the opportunity to gain or expand skillsets over a range of computational techniques needed for modern agricultural
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mission utilizing the expertise, resources, and capabilities available at your hosting facility. You will acquire experience and training in areas related to fusion energy and plasma science and technology
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at the intersection of virology, data science, ecology, and agriculture. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Participate in laboratory or computational
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educational and professional goals. As the selected participant, you will learn about public health, environmental health risk assessment, military deployment health, and/or environmental exposure assessment
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related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https
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for participants seeking to expand their expertise in molecular biology, virology, ecology, or bioinformatics while contributing to projects of national importance. Learning Objectives: Under the guidance of a
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researchers in an effort to investigate and analyze program productivity. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: Learning
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techniques utilized in ForestGEO and the computer software and hardware technology currently being used. The participants will be mentored as part of a larger field team to learn the field protocols