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design and testing and chassis to system design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development
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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics. The position is for one year with renewal for a second year pending
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letters (at least one addressing teaching) Please reference job #09900 in the subject line of all correspondence. Applications are welcome at any time. The review process starts November 1, 2025 and will
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Will Do: Lead large-scale benchmarking of full-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct
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to the development and testing of innovative timing sensor technologies and high-bandwidth readout strategies. Specification and characterization of analog and digital electronic readout schemes. Making leading
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of application) Applicants must have completed all requirements for a PhD Degree in geography, urban planning, sociology, political science, economics, data science, public policy, computer/information
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to influence policy and technology development. Experience with food-energy-water analysis. Experience with technoeconomic analysis/process simulation Experience mentoring students Must be able to start no later
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer