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analysis and biogeochemistry. Demonstrated ability to solve complex differential equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river
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for emulating high-resolution process-based land-surface models - Combine process-based land surface and vegetation model components with data-driven model parts, e.g. in the framework of Neural Differential
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the Principal Investigator on research in Lagrangian geometry and fully nonlinear partial differential equations, including the construction of minimal Lagrangians in complex hyperbolic space and their
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of phenomena represented by partial differential equations (PDEs). With approximately 100 professors, researchers, engineers, administrative staff, and as many doctoral or post-doctoral students
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framework for quantum mechanics. The researcher is expected to make contributions in the fields of functional analysis, complex analysis, spectral theory, and partial-differential equations, but also
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-hungry. But many lines of research in these domains have been faced to date by designing particular simulation systems, mainly based on physical laws (e.g., differential equations). To this end, a
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within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical tools for data analysis Numerical methods for differential and integral equations Modern
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
applications for a Postdoctoral Research Associate positions in the field of Analysis, broadly interpreted and including harmonic analysis, the analysis of partial differential equations, dynamical systems
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. Good working knowledge in most of the following topics is essential for this position: differential equations, operator spectral theory, linear vector spaces, differential geometry, boundary-value
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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