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for the monitoring and prognostics of complex systems, characterized by high heterogeneity, nonlinear dynamics, and operational uncertainty. The main objective is to enhance the ability to promptly detect anomalies
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of advanced functional imaging methodologies for whole-brain mapping of neuronal activity (such as calcium functional imaging, nonlinear microscopy, and light-sheet microscopy), in parallel with monitoring
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and develop a nonlinear absorber to control very low-frequency vibrations in an underwater structure. The project will have a scientific focus on studies in vibroacoustics and nonlinear dynamics from
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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The Department of Mathematics and Statistics at Georgetown University (https://mathstat.georgetown.edu/ ) invites applications for a postdoctoral researcher in Mathematics. The position will start on August 1
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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polarization via exciton population engineering, including nonlinear optical responses relevant for neuromorphic activation functions. Analysis and interpretation of experimental data in close interaction with
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. https://doi.org/10.1016/S0047-259X(03)00096-4 13. Ledoit, O. & Wolf, M. (2020). Analytical nonlinear shrinkage of large-dimensional covariance matrices. The Annals of Statistics, 48(5), 3043–3065. https
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diverse range of pivotal fields, including (but not limited to): Nonlinear PDEs, Geometric Analysis, Harmonic & Functional Analysis, Algebra, Number Theory, Coding & Cryptography, Graph Theory
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have been developed in the linear framework for several decades, the current challenge remains their extension to the nonlinear framework, which is necessary for an accurate description of complex