11 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at Lawrence Berkeley National Laboratory
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National Laboratory is hiring a Postdoctoral Scholar - AI-Assisted Physical Vapor Deposition of Thin Films within the Molecular Foundry Division. This position will accelerate process development and
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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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health and construction safety field assessments, monitoring and sampling activities in support of asbestos and lead projects, and other EHS program support. Additionally, the role involves
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for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic-inorganic hybrid materials capable
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Developing QA documents (Work Instructions, Test Plans) Extracting images from mechanical models for documentation Contributing to project and engineering work process documentation What is Required: Full-time
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-equilibrium phenomena. The computational results are expected to compare with X-ray spectroscopy, and/or pump-probe spectroscopic observations. You will: Perform computational investigation of ultrafast charge
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National Laboratory is hiring a Postdoctoral Scholar - Organic Spin Qubits & EPR Spectroscopy within the Molecular Foundry division. This position will support a two-year research program on correlated
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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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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worldwide. In this role, developers create and operate robust, mission-critical solutions that collect, process, store, and present network measurements and event data using open-source and cloud-native