3 collaborative-learning Fellowship positions at Lawrence Berkeley National Laboratory
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, limiting their application. You will join a collaborative, multidisciplinary team with expertise in DNA synthesis, metal biology, high-throughput sequencing, and data science, while leading independent
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to work collaboratively to integrate microbial phenotypic data (e.g., fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models capable of predicting and explaining
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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