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to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning
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integrating artificial intelligence, from algorithm design to on-sky demonstration. The objective is to design intelligent adaptive optics systems capable of correcting sensor nonlinearities, anticipating
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, engineering sciences, or applied mathematics, with strong knowledge in nonlinear optics and laser physics. A solid command of numerical and simulation methods is essential, in particular the solution of partial
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively participate in research
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the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
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the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
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, Nonlinear and Complex Systems , Nonlinear Integral Systems, Classical and Quantum , Optical Physics , optics , Optics and Photonics , Optomechanics , Photoelectron spectroscopies , Photon-based Scattering and
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx