24 computer-science-quantum-phd-student positions at Lawrence Berkeley National Laboratory
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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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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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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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in the preparation of proposals for funding. Mentor graduate students and postdocs. We are looking for: PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
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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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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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positively to the active research culture. Uphold a culture of safety and promote stewardship values of the laboratory. We are looking for: PhD in Physics, Materials Science, Chemistry or equivalent. Ability
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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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Synthesis Science program in which the postdoc will combine literature data extraction, LLM reasoning, and theoretical materials science to guide synthesis protocols for automated sol-gel and solid-state