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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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on classical supercomputers. Design and optimize classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve
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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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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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, to enable scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last
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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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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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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