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-Energy Physics and Quantum Computing to join the team. In this exciting role, you will research in quantum computing, with a focus on the development of theoretical approaches and novel quantum algorithms
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, implementation, and testing of a wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro
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, they will work on algorithm development, optimization, programming, and computer science research. Hourly Salary Range: $37.60 - $78.35
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of Distributed Antenna Systems (DAS) and low voltage infrastructure, including fiber and copper cabling. Experience should include reading and interpreting construction drawings, basic low voltage systems design
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solutions tailored to the data requirements of AI/ML algorithms. Analyze and integrate complex, high-throughput datasets, produce detailed reports, and present key findings to internal and external
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management expertise to support a workgroup of researchers using satellite algorithm-based models to track marine environmental conditions, generate habitat distribution maps, and produce forecasts
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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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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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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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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