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-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring and outreach activities and will be expected to teach
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place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice's culture. They come
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place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice's culture. They come
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at Rice University (Houston, Texas) invites applications for a faculty position at any rank—Assistant Professor (tenure-track), Associate Professor (tenured), or Full Professor (tenured) —beginning July 1
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to cutting-edge research at the intersection of artificial intelligence, multi-modal data fusion, and probabilistic risk assessment of infrastructure under extreme hazard events. This position offers
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. Application review will commence October 15, 2025, and will continue until the positions are filled. For additional information, please contact the search chairs, Dr. Scott P. Egan (scott.p.egan@rice.edu
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), data mining (e.g., machine learning, network analysis, generative models), and simulations (e.g., agent-based modeling, computational modeling of psychological processes). The hire will work with
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teaching. Required education is a PhD (or PhD requirements fulfilled by starting date), in Mathematics or related field. The position will entail teaching undergraduate and graduate classes and performing
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. Application review will commence October 15, 2025, and will continue until the positions are filled. For additional information, please contact the search chairs, Dr. Scott P. Egan (scott.p.egan@rice.edu). Rice
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for data ingestion, preprocessing, training, validation, and deployment Collaborate with data scientists, clinicians, and engineers to translate research models into scalable production systems Develop APIs