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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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molecular biology workflows, including cloning and transformation. Running high-throughput capsule-based consortium sequencing assays. Performing genomic and structural homology analyses. Collaborating
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computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
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interested in contributing to a collaborative and innovative group of scholars at all career stages are encouraged to apply. Individuals that are often working on projects that advance science and have real
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Lawrence Berkeley National Lab’s (LBNL ) Advanced Light Source Division has an opening for a Postdoctoral Fellow to work on developing Bragg-enhanced X-ray Absorption Spectroscopy primarily