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Berkeley Lab’s (LBNL ) Energy Geosciences Division (EGD) has an opening for a Postdoctoral Researcher in Machine Learning for Geological Carbon Storage to join the team. In this exciting role, you
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Machine Learning (ML) models and Python script or equivalent, as well as perform room temperature and cryogenic temperature electrical and mechanical measurements. What You Will Do: Perform mechanical
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using predictive models, such as regression, classification, and other machine learning tasks Ability to independently execute tasks that require critical thinking. Demonstrated ability to write high
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The Nuclear Science Division (NSD) at Lawrence Berkeley National Laboratory has an opening for a Postdoctoral Researcher, with focus on the application of machine learning techniques to address
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physics-informed machine learning (ML) for compact accelerators. Work will include operation and experiments using the High Repetition-rate Electron Scattering (HiRES) compact ultra-fast electron
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ultrafast laser systems. Experience with machine learning. Excellent verbal and written communication skills. Salary: The monthly salary range for this position is $5,374-$7,510 and is expected to start at
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activity. Apply optimization routines to the search for new catalyst compositions. Run calculations on large supercomputing facilities. Train and deploy machine learning models. Collaborate with experimental
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analysis, theory, and/or simulation of cosmology data sets; the design and development of state-of-the-art instrumentation; the application of Artificial Intelligence / Machine Learning to problems in
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language for data analysis and familiarity with machine learning approaches for data analysis. Notes: For full consideration, please apply by January 5, 2024. Application for this position should include a
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meetings. Desired Qualifications: Experience with ultrafast laser systems and femtosecond laser ablation processes. Experience in computer software for optical design (e.g., Zemax). Experience with various