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partners, along with the databases we create. The geospatial smoke tradeoffs dataset can then be used in project planning. Learning Objectives: The fellow will develop professionally while engaging in
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conditions, and conducting pre- and post-test material characterization to understand degradation mechanisms and inform future designs. Learning objectives for this project focus on acquiring expertise in
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areas. These include, but are not limited to: Learning about technical writing methods and standards for government reports Gaining experience in numerous science areas related to the human
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the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives: The research fellow will have the
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improve federal transit operations and oversight. Projects may include: Performing exploratory data analysis across diverse FTA datasets. Building and evaluating statistical and machine learning models
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transmission and spread. Learning Objectives: Under the guidance of a mentor, the participant will learn to or increase their ability to: collect and extract samples for sequencing. construct libraries and
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use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
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through the Global Emerging Infections Surveillance Program Office. The objective of the GTD Study is to acquire cross-continent comparable data on the epidemiology and etiology of enteric disease threats
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findings into manuscripts for peer-reviewed journals. Learning Objectives: Throughout the course of this research project, the participant will have the opportunity to explore the latest trends and research
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parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential to improve the effectiveness