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manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading
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with environmental/scientific datasets (cleaning, processing, analysis, synthesis). Strong programming skills, especially Python (or comparable scientific programming). Experience with LLM-assisted
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utilize and expand the skills and expertise developed during their PhD training to complete research projects in this field. This includes conducting advanced genomic analyses, writing and presenting
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the Integrated Building Deployment and Analysis group in the Buildings Materials & System Integration Section, Building and Transportation Science Division, Energy Science and Technology Directorate at Oak Ridge
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. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g., ArcGIS, QGIS) to link, harmonize, and analyze datasets across spatial scales. All positions are security
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domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation
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meetings. The postdoc will conduct cross-cutting integrative research to aggregate and harmonize the campaign’s extensive suite of remote sensing and field datasets and use these to answer questions about
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-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency and interoperability across pilot sites, in line with
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, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency
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impact. Our team leverages data pipelines to quantify data centers’ electricity and water use, emissions, and air pollution exposure and health impacts. The overarching goal is to develop an interactive