298 linked-data-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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the procurement strategy. Supervise supplier performance and compliance with delivery schedules, payment provisions, applicable laws, and contract data reporting requirements. Manage supplier
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to deter or detect opportunities for fraud, waste, and abuse; (2) determine reliability and integrity of financial and operating information; (3) ensure compliance with policies, plans, procedures, accepted
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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, configuration data, and as-built information. Apply drafting standards, configuration management requirements, and Design Engineering practices to all design documentation. Participate in design reviews, drawing
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personnel are documenting and providing data needed by EPSD for compliance of refrigerants. Ensure consistency across the site by inputting this information as needed. Oversee disposal/recovery processes, and
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-physical systems to create secure and resilient embedded devices. Work collaboratively with R&D staff in cybersecurity, cyber-physical security, advanced manufacturing, sensing, and data analytics to achieve
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analytical, technical, and development support for key business systems, focusing on ERP configuration and implementation, data integrations, reporting tools, and application development frameworks. This role
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Control (I&C) Systems Engineer to develop LabVIEW‑based data acquisition, monitoring, and control solutions for enrichment systems and testbeds. ESED serves as the national steward for gas‑centrifuge
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data processing and multigroup cross-section generation tools such as AMPX or NJOY. Experience applying artificial intelligence, machine learning, or surrogate modeling methods to nuclear engineering or