227 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Oak Ridge National Laboratory
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data analysis to identify reliability concerns, single-point failures, and high-risk beamline components; maintain obsolescence, asset management, and risk-tracking documentation and databases. Develop
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with an emphasis in Business Administration, Information Systems, or other business-related areas and at least 2 years of experience in SAP. Customer service oriented. General troubleshooting experience
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. Process subcontractor construction submittals and Requests for Information (RFI’s) to ensure timely responses and response durations are upheld. Inspect and coordinate engineering inspections
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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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demonstrated ability to comprehend and communicate detailed technical, legal, and policy information. Must have proven interpersonal relations skill to create necessary bridges between perspectives of various
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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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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professional office environment and ensure front desk areas remain organized and secure. Handle sensitive or confidential information with discretion. Maintain a consistent, reliable work schedule during core
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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and