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mentors in the group. Required Knowledge, Skills, and Abilities: Ph.D. in applied mathematics, mathematics statistics, engineering, physics, operations research, or related field awarded within the last 5
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problems of interest. This program provides full support for a period of two years at CSI with possible extension. Candidates must have received a doctorate (Ph.D.) in applied mathematics, statistics
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Experience with data analysis and knowledge of statistical techniques for data analysis Knowledge of mixed-signal circuits, digital signal processing, and modern circuit components Experience with laboratory
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Experience with data analysis and knowledge of statistical techniques for data analysis Knowledge of mixed-signal circuits, digital signal processing, and modern circuit components Experience with laboratory
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learning, reduced order or surrogate modeling, uncertainty quantification and scalable computational statistics, model-form errors, optimization, optimal experimental design, high-dimensional inverse
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statistical data analysis Demonstrated interpersonal communication skills A record of working successfully with other scientists and engineers Research experience demonstrated through publications and/or
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and/or academic journals Lead or participate in research grant proposal writing Mentor postdocs and students as needed Required Knowledge, Skills, and Abilities: PhD in Applied Mathematics, Physics
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and/or academic journals Lead or participate in research grant proposal writing Mentor postdocs and students as needed Required Knowledge, Skills, and Abilities: PhD in Applied Mathematics, Physics
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of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and
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, Skills, and Abilities: Bachelor’s degree and eight or more (8+) years of experience or Master’s degree and six or more (6+) years of experience or Doctorate and two or more (+2) years post-PhD; experience