120 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation’s top universities by U.S. News & World
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demography, with over 200 affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more information about CPC. Applicants must have completed a Ph.D. in demography, economics
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of the program (August 2027) If offered the position, any foreign national recipient without independent (i.e., not employer-based) U.S. work authorization may be sponsored and must be eligible for a J-1 visa
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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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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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the University’s mission to provide outstanding learning, discovery and engagement programs. Our dynamic, mid-sized college is interested in hiring faculty and staff whose goals align with our mission to serve
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machine learning, modeling algorithms, and/or mapping applications. Applicants must have a PhD in ecology, wildlife sciences or geospatial modeling. Additional Information: Salary Information: Commensurate
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, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible
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topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work