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chaos indicators for optimization of nonlinear dynamic systems and application in accelerator design and operation. The appointment will be for 3 years. Essential Duties and Responsibilities: Work on a
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)/machine learning (ML) applications in the power grid. * Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python
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collaborations in materials optimization, device fabrication, and testing. Required Knowledge, Skills, and Abilities: You earned a Ph.D. in an appropriate discipline (Physics, Chemistry, Materials Science, or
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, or a PhD in Computational Physics/Chemistry/Biology, Computer Science/Engineering, Applied Mathematics, or a related field with 2+ years of relevant research experience post PhD Established track
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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device performance to guide the development of transition metal silicide quantum architectures; You will explore novel superconducting qubit and resonator designs optimized for scalability and modular