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                capable of long term high temperature operation in a vacuum or inert atmosphere environment (at least 17 years). This would represent a “factor of 3“ improvement over current proven heritage technology [1 
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                . To fulfill one component of FFR's mission requires using techniques in analytical and natural products chemistry. Under the guidance of a mentor, the participant will have access to liquid chromatography 
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                analysis, and delivery/discussion of results. In addition, you will have opportunities for authorship of research efforts in antimicrobial drug discovery, as well as presentations at scientific conferences 
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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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                will have the opportunity to take part in most aspects of field deployment, data collection, and data analysis. The opportunity will include a range of activities and experiences including preparing 
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                the Assistant Secretary for Research and Technology coordinates the U.S. Department of Transportation's (DOT) research programs and is charged with advancing rigorous analysis and the deployment of cross-cutting 
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                theoretical formulation and analysis to testing algorithms in real-time on representative target hardware or in system-in-the-loop environments. This Post-Doc position will support the development and 
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                environments. Flight Dynamics and Control research makes significant usages of 6-DOF guided flight models to connect together component flight, control, and sensor models and understand their performance as a 
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                to wrangle, clean, summarize and analyze qualitative and quantitative data using data analysis software, such as excel, R, and NVivo. The fellow will also gain experience in literature reviews, writing results 
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                chemical transport processes. We pursue continued refinement and application of these models and data analysis tools to improve our understanding of deep convective systems as well as tropical and