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-disciplinary collaborative research Knowledge of analysis software and machine learning techniques BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background
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in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. Education and
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly
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