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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine
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closely related field. A solid background in numerical methods for PDEs, strong hands-on experience with large codes written in Fortran 90 or C++ and MPI, and effective communication skills (written/spoken
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for partial differential equations (PDEs) structure-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
’. Information on the Analysis and PDE group and the NSF RTG can be found at https://tarheels.live/waves/. If renewed, in subsequent years, the position will likely be as a Departmental Postdoc. This one-year