20 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance
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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
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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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spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab's world-class scientific facilities
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Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, with a strong research background in AI, reinforcement learning, and multi-agent systems. Demonstrated
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to deliver excellent customer service, to embody the Lab's Stewardship values of team science, respect, trust, service and innovation, and to represent the Lab and the Directorate with integrity. Able to lift
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policies to select appropriate approaches and deliver results aligned with organizational objectives. We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play
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for binding critical minerals and materials. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Biological Nanostructures, Data Science and Infrastructure, Imaging
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to evaluate programs, measure effectiveness, and inform recommendations, leveraging technology and innovation while adhering to responsible data use. Ensure coordination of activities with other HR functions