18 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" research jobs at University of California
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, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
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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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: Contribute to one or more NESAP projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow
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National Nuclear Security Administration (NNSA) nonproliferation mission. Fellows conduct their own project, build cross-lab networks, and receive targeted career and leadership development through the Next
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properties including 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
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/ ), and supervised by PI 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
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Marine Science Institute. The Benioff Ocean Science Laboratory team works to leverage the power of science and technology to develop and implement tangible solutions to a wide range of environmental
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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research activities, develop refereed publications, contribute to proposals for extramural funding, and present research findings at professional conferences. There will be opportunities for the candidate
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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition