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requires a high-degree of team work and interdisciplinary activities. What You Will Do: Perform research in machine learning methods based on control theory applied to problems in neuroscience. Prepare write
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-binding approaches. Proficiency with major simulation packages such as ASE, Quantum ESPRESSO, VASP, CP2K, or LAMMPS, and their Python interfaces. Working knowledge of machine learning techniques in
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Instrumentation Development System (BIDS). Comfortable in a Linux environment. Knowledge of Rust. Knowledge of quantum information science and experimental and analytical experience. Knowledge of machine learning
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performance. Relevant publication record and clear, effective written/oral communication of scientific results. Knowledge of quantum information science relevant to the responsibilities above. Proven ability to
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science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI