27 high-performance-quantum-computing-"https:" "https:" "https:" "https:" research jobs in United States
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of quantum computing and AI/ML in nuclear physics. The active permanent staff members are Yoshitaka Hatta, Dima Kharzeev, Yacine Mehtar-Tani, Swagato Mukherjee, Peter Petreczky (Group Leader), Rob Pisarski
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | 18 days ago
94720, United States of America [map ] Subject Areas: Physics / Quantum Sensing , HEP-Phenomenology (hep-ph) , hep-th , High Energy Physics , High Energy Theory , Particle Physics Appl Deadline: 2025/11
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, Black Holes , Modfieid Gravity , Quantum Gravity Astroparticle Physics quantum gravity/quantum cosmology (more...) Cosmology / Gravity , Observational Cosmology , Theoretical Cosmology Particle Physics
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Professor in the area of photonic systems and quantum technologies. The appointment will be for an initial term of three years, with the possibility of renewal, subject to funding and performance. UW ECE is a
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information at BNL | Benefits Program The Interdisciplinary Science (IS) Department, in collaboration with others, is performing research in the areas of renewable integration and grid modernization. The goal
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and quantum information science; You have performed low temperature electrical transport measurements and data analysis. You work effectively in a collaborative team to tackle challenging scientific
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Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications/Licenses Required Knowledge, Skills, and Abilities
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-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials, or device fabrication and
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on semiconductor devices for next-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials
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propulsion. Applied Materials and Electromanufacturing Advancing plasma processing science and electrified manufacturing technology. Using high performance computing, machine learning and advanced numerical