26 Materials Science Postdoctoral positions at Lawrence Berkeley National Laboratory in United-States
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The Materials Science Divisions at Lawrence Berkeley National Lab (LBNL ) seek highly motivated Postdoctoral Fellow to join the Minerals for Energy Storage Synthesis (MINES) program of the Lithium
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-level energy system analysis. Collect cost of materials and production economics data from publications and/or industry survey and expert elicitation. Design databases and engineering-based spreadsheet
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homes in disadvantaged communities. In addition to data collection, the postdoctoral scholar will perform data analysis aimed to identify building, appliance technology, and household characteristics
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initiative, which seeks to 1) create accelerated transition vision for clean power system in China using latest technology cost information for renewable energy and storage; 2) develop the enabling market
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the last 3 years) in Physics, Chemistry, Material Science or a closely related field. Demonstrated background in experimental research including leading projects from initiation to conclusion, demonstrating
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networking experiments between Lawrence Berkeley National Lab and University of California, Berkeley. This effort will require incorporating high-finesse optical-cavity systems into a novel trap technology to
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Lawrence Berkeley National Lab’s (LBNL ) Accelerator Technology & Applied Physics (ATAP) Division has an opening for a Postdoctoral Scholar to join the BELLA Center team. In this exciting role, you
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, materials, and manufacturing processes Risks and potential disruptions to supply chains Resilience in supply chains Geopolitical concerns regarding supply chains in the United States Economics of mining
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The Nuclear Science Division (NSD) at Lawrence Berkeley National Laboratory has an opening for a Postdoctoral Researcher, with focus on the application of machine learning techniques to address
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. Adhere with ETA and Lab safety requirements. What is Required: Ph.D. in the chemical or material sciences and demonstrated proficiency and competency in the application of advanced characterization