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, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying advanced techniques to enhance
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of scientists and researchers in an effort to learn and perform structure-based protein design of vaccines and antibodies. Why should I apply? Under the guidance of a mentor, you will gain hands
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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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the processing capability for both research within ARS and the stakeholders in Hawaii. The participant will get to explore the possibility of incorporating sensors, spectroscopy, imaging, and machine learning
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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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agricultural land to exit dairy production thereby opening opportunities for alternative agricultural enterprises. Learning Objectives: The fellow will gain experience in planning and conducting data collection
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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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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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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