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that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will
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that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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: Past hands-on involvement in software systems, data systems, analytics, computer driven distributed data processing, geomatics, image analysis, remote sensing, or geospatial research projects. Experience
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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-4 years of experience. Proven experience architecting and implementing complex distributed systems tailored
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis
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and expand field deployments across substations and distribution systems; drive standards activities to accelerate adoption; and lead publication efforts that establish ORNL’s thought leadership
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registration updates, and supplier questionnaires. System Integration & Reporting: Assist the ORNL SAP Applications team with integration issues due to data discrepancies and generate/review/distribute
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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maintenance of the ORNL water distribution system (including potable and fire water), the wastewater collection and treatment system plant, and the storm drain system. This position is the resident authority