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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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-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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of electron microscope operation and related techniques. Experience with data analysis and interpretation. Proven track record of publications in peer-reviewed scientific journals. Demonstrated experience
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-of-the-art computational and 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
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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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processing, memory and cognitive control using techniques including fMRI, EEG, and psychophysiological recordings (EMG, EDA). Ongoing projects include studies of the prefrontal organization of cognitive
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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 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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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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opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide