6 collaborative-learning Postdoctoral positions at Lawrence Berkeley National Laboratory
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exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data
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characterization tools (e.g., SEM, AFM, TEM, thermal analysis). Maintain rigorous experimental records and contribute high-quality datasets for internal collaboration. Communicate research results through peer
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skills/knowledge: Familiarity with modern machine learning methods and software, including experience applying them to scientific or experimental datasets. Experience collaborating with domain scientists
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able to connect theory and experiment. Work in a collaborative environment, including both theorists and experimentalists. Actively publish in peer-reviewed journals and contribute to scientific research
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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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techniques. Solid-state or thin-film materials characterization. Demonstrated ability to conduct independent research in a collaborative environment. Strong written and oral communication skills, evidenced by