15 Electrical Engineering research jobs at Lawrence Berkeley National Laboratory in United States
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Lawrence Berkeley National Lab’s (LBNL ) Accelerator Technology and Applied Physics Division has an opening for a Postdoctoral Scholar to join the team. In this role, you will work at the
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-zero, resilient, affordable, and scalable in California. Under the supervision of staff at the Building Technology and Urban System Division and Energy Analysis & Environmental Impact Division, you will
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which facilitate adoption of critical decarbonization technologies. The Energy/Environmental Technology Researcher (EETR.1) will apply methods of conducting energy, market, and/or engineering research
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collection to support the development of modeling parameters and inputs for power system modeling in China including the wholesale electricity market, prepare scientific reports and conduct related technology
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, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Our research seeks to inform public and private decision-making on public-interest issues related to renewable energy
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the Energy Analysis & Environmental Impacts Division and the Building Technology Urban Systems Division. What You Will Do: Lead advanced research projects on electric distribution system planning, assessing
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, and policy analysis of energy topics centered on the U.S. electricity sector. Our research seeks to inform public and private decision-making on public-interest issues related to renewable energy
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: Ph.D. in Physics or Electrical Engineering. Experience in optics, UHV systems, laser stabilization, and system assembly. Background in cavity QED, in particular, coupling atoms with cavity fields
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: Experimental photoelectrochemical (PEC) testing including use of solar simulator, potentiostats, measurements of photon to current conversion efficiency, and gas chromatography. Structural and functional
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nonproliferation, including but not limited to analytical, physical, theoretical, or nuclear chemistry, radiochemistry, nuclear engineering, nuclear physics, radiation detection, AI/ML, and QIS. Excellent oral and