48 computational-complexity-"Prof"-"Prof" Postdoctoral positions at Oak Ridge National Laboratory
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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reporting complex research assignments related to buildings, specifically: 1) system modeling and optimization with applications to building-to-grid integration, and 2) hardware and software development
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detailed and accurate records. Ensure compliance with environmental, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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Requisition Id 15147 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research...
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the U.S. DOE Weatherization Assistant Program and the weatherization network by developing tools and resources for building energy audit and health and safety assessment; providing training and assistance
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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. Preferred Qualifications: Research relevant to spent fuel processing or waste form development. Demonstrated knowledge of a variety of spectroscopic approaches, including kinetic analyses, of complex systems
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls