80 program-manager-"AAAS"-"AAAS" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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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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deadlines, and adapt to ever changing needs. Excellent verbal, presentation, and writing skills are required to enable effective interaction and communication with technical peers, program managers, and
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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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represent the organization by giving technical presentations to DOE program managers and in large public forums. Basic Qualifications: A PhD or equivalent experience in nuclear, mechanical, or chemical
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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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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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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
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scientific journals in a timely manner. Maintain accurate and thorough experimental records and ensure compliance with environment, safety, health, and quality program requirements. Deliver ORNL’s mission by
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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