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applications. The ideal candidate will possess strong analytical and experimental skills to address complex challenges related to packaging dynamics, product protection, and sustainable material performance
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people in the Northern Virginia region. This position will support several stakeholder-driven projects, with the overall goal of developing novel analytical and modeling approaches for PFAS source
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topics demonstrated through coursework and background experience. Background/coursework and experience in data analytics and science, housing policies and programs, especially data and methods applicable
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hub dedicated to advancing, implementing, and disseminating state-of-the-art applied economic problem-solving informed by data analytics solutions. The successful candidate will develop a strong applied
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of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable
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or biological sample data); keeping careful records of the interaction with participant; interacting with clinical patients in a hospital setting (such as in an operating room or recovery suite during their stay
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in a discipline that draws on qualitative research methods, data analysis, technical communication, user experience research, or related analytics and research skills, plus working experience applying
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collaboratively in multidisciplinary teams to improve transportation safety through cutting edge research. Research projects range from collecting and analyzing crash data to large-scale simulator experiments