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. Research will involve growth of single crystals and measurements to understand their structural and physical properties including magnetism and thermal transport, as well as helping to identify new magnetic
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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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for CT. Major Duties/Responsibilities: Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications. Develop and apply ML/AI-driven computational imaging methods
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Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
solutions to compelling problems in energy and security. We are seeking an outstanding Postdoctoral Research Associate with a strong background in condensed-matter physics and materials science and expertise
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to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention. Intelligent and automated selection and composition of data and storage service capabilities and
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for deployment on HPC systems such as Frontier. Collaborate with interdisciplinary teams across ORNL and partner institutions. Lead and contribute to peer-reviewed publications, technical reports, and conference
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Requisition Id 15794 Overview: The Physics Division at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to join the Nuclear Structure and Nuclear Astrophysics
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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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, polymeric, or physical chemist with expertise in electrode or electrolyte chemistry for development of new electrode or electrolyte systems for battery applications. The primary focus will be on synthesis and
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process