337 requirements-engineering-"https:"-"https:"-"https:"-"C.N.R" positions at Oak Ridge National Laboratory
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field verifications and quality assurance reviews to ensure design requirements and quality standards are met. Coordinate engineering, quality, and safety reviews of in-place construction to maintain
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in accordance with Division Quality Program requirements and best practices. Basic Qualifications: PhD in Mechanical Engineering, Engineering Science and Mechanics, or a closely related engineering or
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industrial processes Thermal use of oil/gas wells Geothermal resource exploration, characterization, and assessment. This will involve the design, fabrication, measurement, modeling, and techno-economic
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Requisition Id 16041 Overview: Oak Ridge National Laboratory (ORNL) invites applications for a senior scientist position to advance collaborative research and technology development in materials
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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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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
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in electrical engineering, nuclear engineering, chemistry, physics, or a related field completed within the last 5 years Demonstrated expertise with digital signal processing in the time- and frequency
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we treat one another, work together, and measure success. Basic Qualifications: Analytics and Technical Skills BS/BA degree in a scientific, statistical, mathematical, informatics, engineering, or
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strong talent pipelines for critical roles in materials science, energy technologies, engineering, national security research, nuclear science, and cleared positions requiring security clearances. Manage
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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