22 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Lawrence Berkeley National Laboratory
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for science Advancing quantum computing and networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods
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Mathematics Computational Research Division (AMCR) has an immediate opening in the Quantum Information Science and Technology Group (QuIST) for a Quantum Experimentalist Postdoctoral Fellow under the programs
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computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will
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undergraduate student in good academic standing during the semester enrolled in an engineering program or similar technical program. Basic understanding of engineering principles Proficiency with Microsoft Office
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statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML
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National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex
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math and Computational Sciences Division has an opening for a Beyond Moore Computational Research Scientist to evaluate and develop devices to hardware/circuit co-design flow for architectural
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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 academic and industrial users each year in condensed matter and quantum materials research, energy sciences, biosciences, earth and planetary sciences and more. The ALS is one of five Berkeley Lab user
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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches