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measurements and materials characterization, fundamental interface and component fabrication (including catalyst, catalyst/electrolyte interfaces, and membranes), integration and simulation. The incumbent will
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the field and laboratory, and proficiency in DNA extraction, sequencing and related data analysis. The project includes aspects of entomology and LiDAR remote sensing, giving the Postdoctoral Researcher
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Lawrence Berkeley National Lab’s (LBNL ) Energy Analysis & Environmental Impacts Division has an opening for a Postdoctoral Scholar to join the team. In this exciting role, you will conduct
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resources, and the DOE ESNET network. Develop and apply advanced workflow capabilities that improve performance, portability, and productivity. Perform performance analysis and optimization across end-to-end
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conduct independent and collaborative research in computational social science, contribute to the collection, management, and analysis of novel datasets, and co-author publications in peer-reviewed journals
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data analysis skills including programming in R, Python, or similar, and proficiency in using GitHub and other data management tools; ● Experience summarizing and visualizing data in accessible and
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for a postdoctoral research position focused on the intersection of geography and public policy analysis. Successful candidates will have research experience in quantitative geography, geographic
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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major role both in physics data analysis and in hardware/electronics work on the CMS Phase-2 muon detector upgrades. The selected candidate will likely need to travel to Geneva, Switzerland at various
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National