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Engineering, Computer Science, Applied Math or related IT discipline. Preferred Qualifications: Excellent written and oral communication skills. Familiarity with ORNL Systems and Processes. Strong
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roadmaps and continuously improve the performance, resiliency, and capabilities of the classified HPC environment. Basic Qualifications: BS degree in computer science, engineering, or a related technical
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Qualifications: BS in a science, engineering, business administration or industrial-organization psychology with a minimum of two years experience. Possess an advanced level of knowledge in office computer systems
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(Accelerating Competitiveness through Computational ExceLlence), an industrial partnerships program within the National Center for Computational Sciences (NCCS). This position can be on-site, remote, or hybrid
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degree with experience in Electrical and Computer Engineering, Computer Science, Mathematics, or a science related field. Proven experience in radar and optics applications. Excellent communication skills
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support integration between ERP and other systems. Basic Qualifications: BS Degree in IT, Computer Science, Engineering, Business, or related field and 8+ years of experience. An equivalent combination
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traditional Linux engineering role. You will operate at the intersection of advanced Linux architecture, cybersecurity, HPC, AI/ML, and classified computing, leading complex technical efforts and shaping secure
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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and Results Act (GPRA), CMEI Key Performance Indicators (KPIs) and other goals through core R&D, industry collaboration, technology deployment, and related outcomes. Articulate consistent ORNL, program