314 computer-programmer-"https:"-"https:"-"https:"-"UNIV"-"Univ" positions at Oak Ridge National Laboratory
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of new and ongoing data programs to position the group for future success. Work closely with data program PIs for identifying and addressing data lifecycle, metadata workflow and other data management
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Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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Program requirements to maintain accountability and integrity of ORNL locking systems as well as compliance with applicable DOE Orders. This position resides in the Physical Security Team in the Security
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industrial experience or an equivalent combination of education and relevant electrical experience. Completion of an approved electrical apprenticeship program. Preferred Qualifications: Knowledge of drawings
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works collaboratively with division leadership to implement the group’s scientific vision. The successful candidate will lead research activities, develop new program opportunities, mentor staff, and
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) configuration management program, provides technical support to operations and maintenance, and performs systems analysis. Major Duties/Responsibilities: Creates new designs and revises designs for reactor
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are responsible for maintaining the HFIR equipment and facilities to ensure safe, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms