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control systems, especially EPICS. Familiarity with synchrotron light science (e.g., ALS) preferred. Experienced in RF technology, magnetics, distributed controls, and algorithm design. Strong academic
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questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Design of superconducting electronic devices with emphasis on superconducting quantum
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of deep learning-based denoising frameworks and sub-tomogram alignment for cryo-electron tomography datasets, to support the analysis of the performance of various denoising algorithms. This role will
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in collaborative, interdisciplinary teams. Linux development skills with Python and JavaScript. Understanding of data structures and algorithms. Familiarity with web APIs such as GraphQL, REST, and
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meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux environment. Experience with Data management utilizing software