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inference, synthetic data, reproducibility, intersection of AI and data privacy, and work with survey, census, health/genomic and other complex data. The scholar will have an opportunity to collaborate with
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development programming, and college-wide initiatives that support the strategic goals of the College of Engineering. The Leonhard Center prides itself on its collaborative, creative, and positive workplace
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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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trajectory. Funding for conference registration and travel support and/or professional development opportunities. Opportunity to collaborate with nationally and internationally recognized faculty in aging
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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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SPECIFICS The Department of Astronomy and Astrophysics at Penn State invites applicants for two Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The successful