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Field
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networking, distributed quantum computing, quantum-system architectures, or closely related areas. Develop models, algorithms, simulation capabilities, and research software for the design and evaluation
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engineers working together to bring new ideas to fruition Build core competencies in software architecture, implementation, test, and deployment Strengthen capabilities in numerical analysis and algorithm
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management reporting needs. Partner with programmers to design and institutionalize accurate forecasting and financial planning tools; this includes modeling new algorithms, creating functional specifications
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, networking, distributed systems, memory management, security, databases, and hardware integration Proficiency in C++ and C with strong object-oriented programming principles High-performance algorithm design
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Skills/Experience areas include: Strong computer science fundamentals: data structures, algorithms, networking, distributed systems, memory management, security, databases, and hardware integration
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to architectures, algorithms, and applications. Titled "Exploring Atomic Ensemble Qubits for Distributed Quantum Computing," this LBNL-funded initiative brings together experts from the ESnet, NERSC, and AMCR
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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to research, develop, and evaluate algorithms for a variety of signal and/or image processing applications. The successful candidate will have a solid background in computer science with strong skills in
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-performance computing (HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties
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algorithms and capabilities into deployable robotic systems. Develop and maintain ROS 2 packages, interfaces, launch systems, configuration infrastructure, and supporting software needed to connect research