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success of the R&D groups as world-recognized leaders in their fields; Collaborate to maintain cutting-edge research facilities in ORNL’s National Transportation Research Center (NTRC); Identify links
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transformations as they relate to microelectronics, quantum materials, quantum information systems and autonomous synthesis in support of ORNL’s “atoms to applications” strategic initiative. As part of the CNMS
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groups as world-recognized leaders in their fields; ensure that staff members understand business opportunities; encourage technology transfer to the private sector; identify links to current and future
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scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and
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Requisition Id 16090 Overview: We are seeking a Geospatial Software Engineer. This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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apply for the GTSI postdoctoral fellowship on the ORNL Jobs website. Visit jobs.ornl.gov and search for “ORNL GTSI Program.” Click on the job link and complete the application as directed. Within 2 weeks
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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infrastructure, ensuring smooth data communication by managing and configuring network devices like routers, switches, firewalls, and wireless access points, monitoring network performance, identifying and
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data