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of mm-wave and microwave components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
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technique, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock-amplifiers, vector network analyzers, resonators is
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that are stored at our mass spectrometry data center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics