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Field
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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advanced physics-informed AI models for scientific discovery Hands-on expertise developing and applying machine learning for materials and/or process discovery, particularly quantum materials Some form of
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, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and undergraduate degree options
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quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
at Physics and Astronomy of UNC-CH is seeking a postdoc researcher to work on developing hybrid optoelectronic, photonic, and magnonic platforms for advanced quantum signal sensing and energy transduction
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will work on a DOE-funded SciDAC project Moving Electrons through Space and Time: Enabling the Quantum Dynamics of Chirality-Induced Spin Selection Through Novel and Scalable Computational Methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
for an additional year. Minimum Education and Experience Requirements A Ph.D. in Mathematics or Theoretical Physics (with research relevant to string theory or quantum field theory) Required Qualifications
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platforms. Interdisciplinary Environment: Work alongside experts in nanofabrication, material growth, two dimensional materials, spin-orbit torques, and quantum devices in a vibrant and supportive research
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on the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." The position will involve developing new methods related to tensor
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research