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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in environmental chemistry, civil/environmental engineering, (bio
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-disciplined work ethic and eagerness to tackle challenging research problems Strong desire to work in a team environment Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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to more clearly understand the original processes involved, and the use and application of AI/ML techniques to national security problems. Familiarity in the following areas are helpful: Application of AI
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network of universities, national laboratories, and industrial partners to develop a scientific ecosystem for fault-tolerant quantum-accelerated high-performance computing (QHPC). Major Duties
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
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fabrication, and neutron scattering, and other advanced characterization. The position is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
length/time scales, to provide improved mechanistic insights into nanomaterials response. Bulk of the work will be on novel materials for next-generation microelectronic devices (e.g. oxide ferroelectrics