34 data-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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complex electronic systems. Able to work independently and exercise sound technical judgment. Familiar with equipment design principles and techniques. Proficient in standard computer applications
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and contact information for three references. PDFs of 2 top publications (in prep is OK). Additional information: Application date: Priority consideration will be given to candidates who apply by 12/31
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interfaces for thermal studies. Analyze data and automate repeatable parts of fabrication, measurement, and post-processing (Python). Maintain and improve experimental setups; coordinate repairs, vendor
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data. Communicate results through peer-reviewed publications, technical reports, conference presentations, and sponsor engagement. Build collaborative networks across Berkeley Lab and the DOE national
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, Johnson Controls, Inc. Metasys, computer-aided drafting software, latest generation lighting controls, and data analysis. Proven relevant experience designing automatic control systems as applied to wet/dry
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the development and application of a digital twin approach, aimed at bridging the gap between theoretical predictions, data interpretation, and experimental/spectroscopic observations. What You Will Do: Design
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teams by transforming conceptual ideas into complete 3D Computer-Aided Design (CAD) models and detailed 2D drawings. These models and drawings are critical to the manufacturing, fabrication, and
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and technologies. Strong verbal and written communication skills; able to clearly convey technical information to engineers and scientists. Highly organized with strong attention to detail in design
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of Perlmutter and connect directly to DOE experimental and observational facilities so research teams can stream and analyze data in near real time. You will collaborate with NERSC staff, domain scientists, and
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(e.g., superconducting quantum processors). Validate, analyze, and interpret experimental data and results. Simulate the performance of quantum circuits on classical supercomputers. Design and optimize