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gravity modeling, to geospatial data strategies for power grid modernization. Population Futures at ORNL sits at the intersection of artificial intelligence, spatial demography, activity modeling, and micro
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of climate finance, climate policy, resilient development, and climate risk analytics. Experience analyzing big data, ensemble simulations, and remotely sensed data products. Efficiency in the use of high
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/implications the technology is appropriate (paybacks, TCO, benefits, heat maps, efficiency gains, etc.) using novel big data sources and techniques Deep dive analytics on powertrain, vehicle and infrastructure
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spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and Raman spectroscopy. Experiences in data reduction of large mass spectrometry and image data are required. Skills and hands-on experiences in
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to users, and it is equipped with two large diffraction detectors as well, enabling simultaneous powder diffraction and inelastic scattering, therefore providing a detailed description of sample structure
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Requisition Id 12804 Overview: The Biostatistics and Biomedical Informatics Group at Oak Ridge National Laboratory is seeking a highly motivated senior researcher to leverage expertise in large
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software and its global distribution. Work individually and within a team to engineer large multi-component scientific and data-intensive software to meet the requirements of projects within scope, schedule
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Identify, collect, and process real-world data, such as road network information (geographic information systems data), traffic density and flow, signal timing plan, fleet population mix, routing, etc., and
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together, and measure success. Basic Qualifications: PhD in computational data sciences and engineering, applied mathematics, geography, statistics, computer engineering or equivalent field with 0-2 years
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measure success. Basic Qualifications: Requires a PhD in geography, data science, computer science, or a related field. Experience in manipulating large scale physical geospatial data including