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The Berkeley Lab's Scientific Data Division is hiring a User Experience Researcher. This division collaborates with experts to develop data science methods, technologies, and infrastructures
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The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated postdoctoral fellow to join the Data Science Engagement team as part of NERSC’s Exascale
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regulation. Perform fluorescence microscopy. Isolate novel microbes from field soil. Apply bioinformatics tools for the analysis of large-scale genomic/metagenomic data. Infer the functions of previously
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tools for the analysis of large-scale genomic/metagenomic data. Infer the functions of previously uncharacterized genes and pathways in diverse bacteria using high-throughput genetics data. Publish in
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ecosystem ecology and soil science. Strong numerical modeling skills. Ability to design model experiments, visualize large data sets, and analyze results. Demonstrated ability to develop and deliver oral and
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, visualize large data sets, and analyze results. Demonstrated ability to develop and deliver oral and written presentations of results. Record of scientific publications. Desired Qualifications: Knowledge and
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and scattering techniques, and Lorentz transmission electron microscopy at large scale user facilities. Prepare manuscripts and reports. Publish research findings in high-impact peer reviewed technical
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application of state-of-art theoretical chemistry tools to investigate ultrafast phenomena for large, and complex interfacial systems. A primary goal will be bridging the time scale and length scale gap for non
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learning techniques using large experimental data sets. Participate in the development of a machine learning framework that will allow for the computer-driven control and analysis of GRETA and VENUS
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, or facilities can strengthen the supply chain. You will conceptualize and carry out analysis and modeling based on data collected from various sources and conversations with experts and stakeholders. Research