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, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification -- one notable example is given by Gaussian process
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physics , Neutrino physucs , Noise mitigation , Non-equilibrium quantum physics , Nonequilibrium physics in bulk and molecular quantum materials , Nonlinear and Complex Systems , Nonlinear Integral Systems
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, Math , Mathematical Sciences , Mathematics , Mathematics Education , Nonlinear Partial Differential Equations , Partial Differential Equations , Physics , Probability , Probability, Mathematical Physics
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. The researcher will focus on efficient functional iterative techniques to solve the nonlinearities in the model equations, on robust space discretization methods and on effective meshing techniques, including
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tracking. Specifically, advance photocurrent detected broad-band ultrafast micro-spectroscopy, towards nonlinear current/fluorescence detected multidimensional micro-spectroscopy. Contribute to publications
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
initiative to study corporate climate action and its potential to catalyze social tipping points (i.e., nonlinear shifts in societal norms, policy, technology uptake, and consumer behavior) that will
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manager and maintain regular communication with all other relevant stakeholders. Where to apply Website https://utc.recruitee.com/o/chercheur-contractuel-fh-modeles-predictifs-securit… Requirements Research
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systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification -- one notable example is given by
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of dynamical systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification. Typical identification
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will