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, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB, Mathematica, Origin, or COMSOL Multiphysics. Background in superconductivity, magnetism, thin films, surfaces and
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satisfaction, and the availability of funds. The successful candidate will conduct numerical and theoretical research on quantum computing, AI-accelerated quantum simulation and materials discovery, quantum
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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Science and Engineering seeks a Postdoctoral Research Associate to conduct experimental research on superconducting and magnetic quantum materials. The research will emphasize thin and ultrathin films
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physics and magnetic-confinement fusion. Demonstrated research experience in computational physics, numerical simulation, or scientific computing, with a track record of publication in peer-reviewed
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of advanced solid-state nuclear magnetic resonance (NMR) spectroscopy methods for the structural characterization of pharmaceutical solids and related materials. Research activities will focus on obtaining
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or micromagnetic simulation (e.g., Vampire, OOMMF, MuMax3); extraction of compact device models from first-principles results. Experiment End-to-end device fabrication: e-beam lithography, metallization, lift-off
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approaches for the evaluation and validation of quantum simulations of quantum materials, including realistic treatment of uncertatinty and systematic error across experimental, classical computing, and
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to apply): Prior research experience in plasma control, tokamak magnetic confinement fusion, or computational fusion science. Artificial Intelligence (AI), Machine Learning (ML), and Scientific Machine
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at APCTP and partner institutes, and pursue independent research projects. ● Requirements: A PhD in theoretical/computational magnetism, condensed matter physics, or a closely related field is required by