17 parallel-computing-numerical-methods positions at Lawrence Berkeley National Laboratory
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-of-the-art quantum processors and paving the way for scalable quantum computers. This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro
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utilizing Cloud Compute Services (AWS, GCP primarily), containerization tools, and other relevant technologies while exercising judgment in selecting methods, techniques and evaluation criteria for obtaining
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results to the research group. Develop and apply numerical methods, including machine learning tools, to improve understanding of hydro biogeochemical processes, such as evapotranspiration and carbon
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of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position
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new cutting-edge tools and frameworks for at-scale scientific AI workflows; and working with scientists to apply AI techniques to their research. The selected candidate(s) will be hired at the Computer
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Fellowship Location: Berkeley, California 94720, United States of America Subject Area: Computing Sciences Appl Deadline: 2025/10/24 11:59PM (posted 2025/09/04, listed until 2026/03/04) Fellowship
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Research Scientific Computing Center (NERSC) is seeking a versatile Software / API Engineer to join our team building software systems that integrate scientific workflows and supercomputing systems
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Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area at Lawrence Berkeley National Laboratory is now accepting applications for two
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-term maintenance. Select appropriate methods, techniques, and tools to deliver reliable safety systems. Develop, test, and integrate prototypes into existing systems. Perform verification testing and
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and