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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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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
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. The tests will be carried out using a tension–torsion testing machine, controlled via optical measurements from image correlation performed within the gauge section of the specimens. The primary objective is
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Application deadline: 31/01/2026 Research theme: Control Engineering, Robotics UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual
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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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maintenance strategies represents a major industrial challenge at the intersection of system dynamics, control theory, and advanced signal processing. Current approaches exhibit complementary limitations: data