332 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" positions at Oak Ridge National Laboratory in United States
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Energy Q clearance and Sensitive Compartmented Information (SCI) access. This position is designated as a Workplace Substance Abuse Program (WSAP) position, which requires passing a pre-placement drug test
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documentation tools such as bar code readers and electronic data recorders). Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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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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affordability of energy supplies. The PSR group focuses on resilience, data analytics, protection, and EMT simulation research. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models
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the supplier to establish the SAP Business Network relationship. Additional responsibilities include compliance, risk mitigation, and supplier data governance by managing questionnaires, supporting supplier
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop software as a part of a team of research application software engineers, computer scientists, and engineers. Work with researchers
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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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Requisition Id 15805 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
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Requisition Id 15882 Overview: We are seeking a Research Staff Scientist to advance our fundamental understanding in 2D materials, thin films, and hybrid nanostructures for quantum information