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-guided learning activities may draw upon biomonitoring projects associated with CDC’s National Health and Nutrition Examination Survey (NHANES) and similar epidemiological studies of the U.S. population
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funds can be used effectively and on time. Research Project: This fellowship will provide an opportunity to learn alongside the Crisis Cooperative Agreement and Innovation (CCI) Team. The CCI Team manages
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, performing standardized analyses or running laboratory equipment to analyze chemical constituents of soil, plant and water samples. Learning objectives: During this opportunity, under the guidance of a mentor
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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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such as VOC vapor intrusion or groundwater and drinking water concerns in southern California or in Guam. Through this project, you will have the opportunity to learn ATSDR’s approach to conducting
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emerging technologies, transportation data, policy, research and all modes of transportation across the Department. As a Fellow, you will learn to facilitate the transformation of our transportation system
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well as communicate with research networks within the scientific community. Learning Objectives: As part of this learning experience, you may: Learn how grapevine populations and germplasm are evaluated to identify
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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for comprehensive pathology evaluation to support outbreak and epidemiological investigations. Learning Objectives: You will: Gain experience in molecular testing methods, including PCR-based detection and pathogen