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researchers to understand the fundamental mechanisms of mineral interfacial chemistry, element and isotope partitioning, crystal growth, dissolution, and phase transformation. The project team uses state
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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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of electron microscope operation and related techniques. Experience with data analysis and interpretation. Proven track record of publications in peer-reviewed scientific journals. Demonstrated experience
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connect to DOE facilities for near-real-time data analysis. Your work will help 12,000+ users run faster, more reliable science. What You Will Do: Contribute to one or more NESAP scientific workflows
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software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer
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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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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
Coordinator will conduct the aforementioned tasks to complete a landscape analysis of critical issues facing workers, provide workplace-related information material, and coordinate workshops, convenings
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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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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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electrical engineering, computer science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics. In depth experience with control theory and machine learning for analysis