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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute to
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and engineering challenges of our time, from clean energy and advanced materials to artificial intelligence and quantum information science. The Rapid Prototyping Lab (RPL), in the Data Science and
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unprecedented scale. For more information: Rapid Prototyping Lab: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci on GitHub: https
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nonlinear MEMS-based oscillators driven by storage-ring radio-frequency (RF) signals to enable advanced manipulation of X-ray pulses. Background information on the project can be found in the
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solver, capable of running simulations on the Aurora supercomputer, using AMReX ( https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry
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Science: [email protected] More information on ESRA and the research areas of focus can be found at: https://energystoragera.org Job Family Research Development (RD) Job Profile R&D Multi-Functional
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by
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tailored to diamond for applications in quantum information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and
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building new electronic experiments. Experience : Ph.D degree in the field of Condensed Matter Physics, experimental High Energy Physics, Quantum Information Science, or a closely related discipline
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interaction for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including