21 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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will implement several novel capabilities geared toward efficiency and high fidelity. Ultimately, they will be used for cutting-edge demonstrations of quantum computing applications. You will: Design and
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National Laboratory is hiring a Postdoctoral Scholar - High-Throughput Discovery within the Molecular Foundry division. This position will accelerate the design and discovery of biological materials
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will engage in the group's research and development (R&D) activities in high-performance computing (HPC) and contribute in setting research agendas, with a focus on sparse linear and tensor algebra
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specializations for high performance computing neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must investigate alternative paths to continuing computing performance
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organic spin systems for quantum information science (QIS). The primary purpose of this project is to establish chemically tunable organic radicals as a new materials platform for quantum spin qubits
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of world-class science. You will perform varied tasks essential day-to-day operation of the plant facilities systems, complete preventive maintenance, make small and complex equipment repairs, monitor and
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, fabricate, commission, and operate advanced laboratory systems including high-temperature reactors, calorimetry platforms, flow systems, molten salt setups, and electrochemical cells. Conduct and interpret
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Research Infrastructure and the American Science Cloud. In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC
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acquisition, performance management, employee and labor relations, engagement, and talent development. Serving as the primary relationship manager for the client group, the HRSP partners closely with Lab
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(LBNL ) Joint Genome Institute (JGI ) has an opening for a Senior Business Systems Analyst to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets