18 learning "https:" "https:" "https:" "https:" "https:" "https:" "Argonne" positions
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simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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Prototyping Lab: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci on GitHub: https://github.com/AD-SDL/MADSci AD-SDL organization on GitHub
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unprecedented scale. For more information: Rapid Prototyping Lab: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci on GitHub: https
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exoplanets. Computational astrophysics is supported by access to high-performance computing through the Research Computing Center at the University and through connections to Fermilab and Argonne National
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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Argonne National Laboratory invites applications for the position of Director of the Energy Storage Research Alliance (ESRA), a multi-partner Department of Energy-Basic Energy Sciences (DOE-BES
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the Large Hadron Collider . The successful candidate will play a leadership role in searches for physics beyond the Standard Model, machine learning applications, and Phase-2 trigger upgrades. UIUC
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eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook (https://mybenefits.nfp.com/UChicago/benefits-guide
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physics, including, but not limited to, high-energy theory, gravity, condensed matter theory, quantum information, and physics of learning and computation. The Department members cover a wide range of
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search is open to all subfields of theoretical physics, including, but not limited to, high-energy theory, gravity, condensed matter theory, quantum information, and physics of learning and computation