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characterisation of fungal communities, working with “big data”, and characterising soil physicochemical properties. You will join a diverse, active and collaborative research group in the Soil and Ecosystem Ecology
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Health, Sports Health and Communication Technology, Health Big Data, and Research Methods. Develop and enhance digital sports and health curricula by integrating smart devices, wearable monitors, and
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big data Familiar with EFT frameworks (specifically event generation with EFT models) Familiar with statistical analysis tools Able to handle combinations of different particle physics measurements
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equivalent is preferred. This position requires extensive experience with multimodal MRI, including functional and structural MRI and tractography. Experience with big data analysis techniques is essential
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, or machine learning approaches for handling big data in order to improve scientific insight and actionable information derived from NASA datasets. Candidates interested in leveraging multi-mission
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the Department of Physiology. The successful candidate will primarily work with the analysis and scientific processing of previously collected research data from clinical randomized controlled trials
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research agenda utilizing quantitative computational social science and big data analytics to investigate human communication processes, media ecosystems, and/or message dynamics. We welcome candidates
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research. The University of Nebraska-Lincoln is home to a Federal Statistical Research Data Center ( RDC – https://www.census.gov/fsrdc ) which provides researchers with access to restricted federal
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eligibility of student athletes in compliance with the National Collegiate Athletic Association (NCAA), Big East and Patriot League Conferences, and Georgetown University by-laws, rules, regulations and
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ASE is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in