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dynamics, and related areas of mathematical physics. We particularly encourage applications from candidates with expertise in nonlinear PDEs, fluid dynamics, KAM theory, hyperbolic systems, kinetic
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<span lang="en">Max Born Institute of Nonlinear Optics and Short Pulse Spectroscopy, Leibniz Institute in FVB e.V.</span> | Berlin, Georgia | United States | about 13 hours ago
The Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI) conducts fundamental research in nonlinear optics and ultrafast dynamics arising from light–matter interactions
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and
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bandwidth. The project builds on a recent work by the host group [Keijsers et al. , Nature Photon. 19, 733 (2025)], where signatures of a phase transition were observed in the nonlinear response of a laser
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Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https://optics.arizona.edu
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background in one, or more, of the following areas: * stochastic PDE, or nonlinear PDE * stochastic fluid dynamics * interaction particle systems, non-equilibrium statistical mechanics * mathematics of
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Job Description We are seeking a skilled and highly motivated PhD candidate for a 3 year position, in the fields of gas-filled hollow-core fiber lasers, ultrafast lasers, and nonlinear optics. In
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Mathjobs.org | 26 days ago
scientific and engineering applications. Dynamical and complex systems: nonlinear dynamics, mathematical physics, network science, multiscale systems, and modeling of complex phenomena. Computational
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scientific and engineering applications. Dynamical and complex systems: nonlinear dynamics, mathematical physics, network science, multiscale systems, and modeling of complex phenomena. Computational
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Networks to both a) physically realize such systems in electronics, particularly using novel content-addressable memory (CAM) designs, including tape-out opportunities, and b) exploring computing