13 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Lawrence Berkeley National Laboratory in United States
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mitigation strategies. Validate, analyze, and interpret experimental data. Develop algorithms for near-term hardware based on critical evaluation of the literature, and original thinking. Design quantum
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the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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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 five years
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Administration (NNSA) nonproliferation mission. Fellows conduct their own project, build cross-lab networks, and receive targeted career and leadership development through the Next Generation Nonproliferation
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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structure/function relationships across multiple time and length scales with a specific focus on electrical double-layer formation and structure. What You Will Do: Develop scientific research hypotheses and
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Daniel Carney. What You Will Do: Develop advanced techniques to surpass the Standard Quantum Limit (SQL) and enable quantum-coherent readout of multiple devices. Conduct original research both
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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced qubit technologies, including