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analysis and technoeconomic analysis without significant direction from ORNL staff Leverage primary equipment data from both within ORNL and from industrial partners from across the U.S. to quantify costs
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discipline within the past 5 years. Excellent communication skills, including verbal, presentation, and writing skills, are required to enable effective interaction with technical peers and program managers
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Security Administration (NNSA), the Department of Energy (DOE), and other government agencies. Major Duties/Responsibilities: Perform research and development in the areas of nuclear reactor analysis M&S
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by publications in peer-reviewed journals. Ability to work effectively both independently and within interdisciplinary, collaborative research teams, including mentoring students, managing multiple
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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effectively. Ability to manage multiple technically demanding projects simultaneously, prioritize competing deadlines, and maintain high-quality work in a fast-paced research environment. Demonstrated ability
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supercomputing resources. The candidate will also contribute to the development of large-scale identity and key management solutions. We are a leader in computational and computer science, with signature strengths
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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for quantum advantage. Research and develop quantum runtime technologies for heterogeneous QHPC distributed systems, including workload mapping, scheduling, resource management, execution orchestration, and
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candidate will manage several projects concurrently, help shape new research directions within their field, and collaborate closely with ORNL staff, industry professionals, and academic partners. Based within