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data science Reporting the scientific results in academic papers and talks Required Knowledge, Skills, and Abilities: PhD. in Physics or related discipline. A good understanding of the physics of quantum
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. In the second, quantum computational modalities informed by quantum information theoretic approaches will be developed to describe the non-equilibrium dynamics of such rare-earth materials. Essential
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for highly motivated postdoctoral researchers to conduct advanced electron microscopy studies on quantum materials for neuromorphic computing. The primary objective of this research is to explore quantum
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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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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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specializing in areas such as energy storage, catalysis, and geochemistry. You will investigate ultra-long timescale reaction dynamics using advanced quantum mechanical calculations, MLIPs, and problem-specific
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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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Knowledge, Skills, and Abilities: PhD in Chemistry, Physics, Biophysics, Biology, Biochemistry or Structural Biology. Proven ability to optimize peptide, protein or nucleic acid crystallization systems. Basic
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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
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Required Knowledge, Skills, and Abilities: PhD in Accelerator Physics or a related field In-depth working knowledge of accelerator design codes such as BMAD, MADX, or ELEGANT Working knowledge of programming