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diverse data sets, applying advanced analytics, and leveraging ML/AI techniques to detect, quantify, and forecast global risks affecting sourcing strategies. It will also include assessing AI-driven demand
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The Energy Systems and Infrastructure Assessment (ESIA) division provides the rationale for decision makers to improve energy efficiency. We develop and use analytic tools to help the U.S. achieve
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Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S
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, data collection and analysis, and utilizing collaboration tools and AI technologies. Why Apply? Gain exposure to world-class research, data analytics, and artificial intelligence applications within OP
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sciences, U.S. utility systems, sustainability science, and/ or environmental justice research. Proficiency in GIS mapping and data analytics. Strong background in mixed quantitative and qualitative methods
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of focus in this project, including analytic techniques, data science, machine learning, and biosignature science. Field of Science: Astrobiology Advisors: Caleb Scharf caleb.a.scharf@nasa.gov 650.346.3760
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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) Position Description: Apply Position Description We seek a postdoctoral associate to work at the interface of spectral theory, quantum materials, and quantum information at the Center for Computation
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic