195 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" uni jobs at Oak Ridge National Laboratory
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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consisting of the best-of-the-best science teams around the world. NCCS enables these teams to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data
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consisting of the best-of-the-best science teams around the world. NCCS enables these teams to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data
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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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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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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
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and
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compliant, mission-focused, and employee-centered workplace. Major Duties/Responsibilities: Workforce Data & Reporting: Generate and analyze workforce data and standard HR reports to support HR decision
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job