26 parallel-processing-bioinformatics 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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experimental tools to investigate chemical and mechanical processes that contribute to the enhanced reactivity of minerals in sedimentary formations. Your role will be to lead the design, implementation, and
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prepared to provide documentation during the clearance process. Required Application Materials: Curriculum Vitae Cover Letter - Briefly describing the candidate's background, previous research experience as
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational
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multiple occupied facilities, requiring sound judgment in implementing complex process control modifications with minimal supervision. Duties include planning and executing independent work, overseeing
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-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct experiments on contemporary quantum hardware platforms
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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quantum computer control systems. Assist in developing and testing PCB boards. What is Required: Ph.D. degree in physics, applied physics, electrical engineering, or a related field within the last 3 years
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team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science
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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