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. We are looking for: PhD in chemical engineering, mechanical engineering, applied physics, materials science or closely related field. Hands-on experience with electrochemical devices such as PEM and
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, environmental engineering, or a related field. Experience in numerical hydrologic models and land surface models. Experience with Linux on cluster and/or high-performance computing environments. Experience
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their research at Berkeley Lab and UC Berkeley. We are looking for: Ph.D. in Nuclear Physics, High Energy Physics, Astrophysics, Nuclear Engineering, or a related discipline within the last two years. Experience
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on this project, you will be at the center of this collaborative effort, helping define the experimental and engineering pathways required to scale heterogeneous qubit technologies into distributed quantum
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, Chemistry, Physics, Applied Mathematics, Materials Science, Chemical Engineering, or a related technical field. Demonstrated research experience in machine learning or deep learning for scientific
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building a self-improving, closed-loop discovery engine that couples AI hypothesis generation with the A-Lab, Berkeley Lab's fully autonomous laboratory for inorganic materials synthesis and characterization
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workshops. Good organization skills. Desired skills/knowledge: Knowledge of chemistry of rechargeable battery systems. Familiarity with contemporary scientific challenges in battery science and technology
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are looking for: Ph.D. in experimental Engineering, Physics, Chemistry, or other related fields. Hands-on experience with construction of ultrafast laser burst generation systems. Prior experience with
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, providing rigorous theoretical guarantees, and modelling complex physics, noise processes, and measurement error. You will work closely with mathematicians, software engineers, physicists, materials
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complex physics, noise processes, and measurement error. You will work closely with mathematicians, software engineers, physicists, materials scientists, and beamline scientists to implement these new tools