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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | 11 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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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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12 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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the gas phase using high resolution rotational spectroscopy. Implementation of quantum chemistry calculations to determine structure and conformational heterogeneity in an array of complex systems
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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
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. The Research Assistant/Research Fellow will work within a collaborative project addressing the atomic origin of imperfections within Josephson junctions and the ramifications for quantum computing. This work is
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origin of imperfections within Josephson junctions and the ramifications for quantum computing. This work is part of a multi-institution project involving RMIT, Rigetti Computing, Lawrence Livermore
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national high energy physics laboratory in Japan. QUP aims to explore new quantum fields and forces and probe physical phenomena with extremely weak couplings, such as light dark matter, axions, and
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | 11 days ago
), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors, DUNE