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of computational magnetism. The project aims at identifying and interpreting novel phenomena in nanoscale magnetic systems, particularly in non-collinear spin structures and magnet-superconductor hybrid systems
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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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and application of methods for simulating magnetism, particularly atomistic and multiscale simulations. The successful candidate will have the opportunity to collaborate with leading experimental 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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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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intensive care units, including clinical trials, observational studies, or institutional protocols; and knowledge of magnetic phrenic nerve stimulation. How to apply: Please submit a copy of your PhD diploma
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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