14 high-performance-quantum-computing "https:" Postdoctoral positions in United States
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to advance high-impact research at the intersection of quantum computing, cybersecurity, secure systems, and trustworthy AI. Quantum computing is poised to transform computation, communication, cryptography
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performance of quantum computing systems and quantum devices. AI-Driven Quantum Algorithm and Circuit Design: Develop AI-powered methods for the automated discovery, design, compilation, verification, and
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access to the nation's leading user facilities for high-performance computing and scientific networking. The project will also closely synergize with the QUANT-NET program (https://quantnet.lbl.gov
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. The postdoc will join an interdisciplinary program that combines quantum sensing instrumentation, surface and interfacial chemistry, and the physics of the target systems, with current directions including
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
and interface engineering. The successful candidate will play a key role in expanding our MBE capabilities for band-structure engineering, surface passivation, and the fabrication of high-performance
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
The postdoctoral researcher will focus on the design, fabrication oversight, and characterization of high-performance integrated quantum sources. The research plan includes: Resonant and Non-Resonant Design
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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and
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, substrate scope, selectivity, and reaction performance. Applying AIMNet2 and related ML/QM methods to accelerate conformer search, reaction-path exploration, catalyst screening, and high-throughput