329 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" positions at Oak Ridge National Laboratory in United States
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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. Experience with high‑performance computing, laboratory automation, or large‑scale scientific data infrastructure. Special Requirements: Work involves various physical requirements and working conditions. As
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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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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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on facility operations schedules. Major Duties/Responsibilities: Development, execution, and analysis of experimental studies with emphasis on advancing pellet fueling physics through a combination of
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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seeking postdoctoral candidates to investigate the mechanical and thermophysical behavior of irradiated metals and ceramics using advanced experimental and computational methods. The selected candidates
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/Responsibilities: Performs and analyzes routine to moderately complex engineering functions, applying mathematical, physical science, and engineering technologies. Develop complex electro-mechanical equipment and
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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered