255 data "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" positions at Oak Ridge National Laboratory
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Requisition Id 15631 Overview: Oak Ridge National Laboratory (ORNL) is seeking data management leader for our world class earth and environmental data centers in the Environmental Sciences Division
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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techniques; and (3) developing advanced methods for inelastic neutron scattering data analysis and workflow automation. The postdoctoral researcher will work in close collaboration with Dr. Raphaël Hermann and
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knowledge of strategic finance and financial data analysis with experience in operating facilities. Visa Sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and
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troubleshooting skills down to board level. General computer skills (e.g. using menu and software driven test equipment). Experience installing, maintaining, inspecting, diagnosing, and repairing electrical systems
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Requisition Id 15863 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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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
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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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