6 big-data-and-machine-learning-phd Postdoctoral positions at Lawrence Berkeley National Laboratory
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the validation of quantum computers operating in the classical-hardness regime. You will design and execute state-of-the-art experiments on superconducting quantum processors, lead large-scale benchmarking across
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data interpretation and analysis. Perform in-situ/operando spectroscopic characterization such as surface-enhanced in-situ Raman and ambient-pressure XPS (AP-XPS). Fabricate catalyst ink, electrodes and
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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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conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry, Computational Science
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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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other acceptable form of identification is required to access Berkeley Lab sites (for more information click here ). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal