26 computer-science-intern-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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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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experience in applied mathematics, computer science, or a related field Demonstrated experience in developing algebraic solvers Proficiency in more than one computer programming language, such as Python, C/C
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: Berkeley, California Categories: Staff/Administrative Internal Number: 105543 Lawrence Berkeley
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of nanoscale science, the Molecular Foundry provides state-of-the-art expertise and instrumentation to a diverse, international community, drawing users from academia, national labs and industry. In this role
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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
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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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issues. What Is Required: * A Bachelor's Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience
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, and computer science. We are seeking candidates with specific interests in the design and development of integrated transportation models at various scales and levels of resolution, including agent
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Bachelor's degree in Computer Science or related technical field; or 6 years and a Master's degree; or equivalent practical experience. Demonstrated ability to work in a collaborative team environment