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, manage, and run daily, monthly, and quarterly reporting packages, with a keen eye on data quality and robustness, and distribute them to relevant parties within the office and at DFA. Identify critical
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from multiple systems and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms
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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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distributions. As a core service facility, CAC provides high-performance computing and cloud computing services configured with a variety of software including Red Hat Linux, CentOS, Eucalyptus, Hadoop, SQL
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and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms that can help stakeholders
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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Cornell University, Cornell Center for Astrophysics and Planetary Science Position ID: Cornell-CCAPS-POSTDOC [#31243, 2017633] Position Title: Position Type: Postdoctoral Position Location: Ithaca
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, across the nation, and around the world. Position Function The Crickard laboratory is hiring a full-time postdoc as part of a project funded by the American Cancer Society. The project aims to investigate
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, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines