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to the theoretical understanding, discovery, synthesis, and advanced characterization of correlated and topological quantum materials. The expertise of the selected individual is of the highest caliber where discovery
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at CFN. FEM is based on capturing electron nanodiffraction (4D-STEM) to determine the medium range order (of the length scale of nanometers) of amorphous oxides, including those relevant to quantum
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expected in 2025, the first EELS-STEM will be an ultra-low KeV STEM for low Z, radiation-sensitive, 2-dimensional, and quantum materials. The second EELS-STEM will be an ultra-high vacuum environmental STEM
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provide breakthrough capabilities for driving cutting edge advances in high energy and nuclear physics, quantum information processing, materials science, and national security. Attract, retain, and foster
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out R&D programs focused on Electro-Photonics, Quantum Information Science, Artificial Intelligence & Machine Learning, and Neuromorphic Processing that require ASICs with specific layouts
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CFN's state-of-the-art Facilities, such as Quantum Materials Press (QPress) and Nanofabrication Facilities, to unravel the influences of atomic defects in 2D materials on the steep-slope device
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or heterogeneous catalysis of small molecule activation. Density functional theory applications to transition-metal containing molecular complexes. Hybrid quantum mechanics/molecular mechanics (QM/MM) methods
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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From developing next-generation batteries and microelectronics to designing future pharmaceuticals and quantum computers, scientists tackle the world’s greatest challenges by advancing our