406 technology-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in materials science, nuclear, or mechanical engineering, or a related
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Operations personnel, and Melton Valley Complex Facility Supervisors. This position resides in the Maintenance Engineering Group in the HFIR Maintenance Section, Research Reactors Division , Neutron Sciences
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for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced
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Requisition Id 16851 Overview: The Field Intelligence Operations Division is seeking a skilled and motivated Mid-Level Systems Engineer to join our IT team. The ideal candidate will have a strong
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Requisition Id 16837 Overview: We are seeking a Process Systems Engineer to provide process design and system engineering support to develop, design, implement and provide operations support for a
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team within the Knowledge Products group of the Application Development Division in the Information Technology Services Directorate. This role leads the delivery, support, modernization, and continuous
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Requisition Id 16744 Overview: We are currently seeking qualified applicants for a Nondestructive Assay (NDA) Scientist in the Nondestructive Measurement Science and Technology Group within
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functional system administrator for ArcGIS Enterprise, and partners with IT staff and data owners across ORNL. The GIS Specialist is the primary point of contact for the enterprise GIS platform, fostering
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with the qualifications and training of the expected users. Develop and maintain FFESD Information Security Procedure and ensure it complies with ORNL policies and procedures. Coordinate its delivery
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on modern accelerators. Sparse and constrained tensor decompositions — CP- or Tucker-type factorizations, constrained least-squares solvers, or scalable tensor kernels. GPU performance engineering — CUDA/HIP