21 assistant-professor-computer-science-data-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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scientific workflows to join our team to help scientists take advantage of the most powerful computers in the U.S. As a member working at NERSC in the Data Science Engagement group, you will leverage cutting
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in LBNL-specific engineering tools will be provided. 3D modeling and design using Creo Parametric CAD Converting 3D models to 2D engineering drawings Assisting with assembly and as-built documentation
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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-scale computing for critical applications for society and science. The successful applicant will need to have expertise with computer architecture and processor design and from the ground up, and have
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are produced -- making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced -- moving toward smarter, data-driven processes
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Assistance Program A culture where you'll belong - we are invested in our teams! Parental bonding leave (for both mothers and fathers) Pet insurance You will: Operate, maintain, & make mechanical, non
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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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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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, 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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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