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of Research ExperienceNone Additional Information Eligibility criteria We are looking for a highly motivated candidate who has either engineering profile or fundamental research in domains of nonlinear dynamics
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discrete optimization, computational optimization, inverse problems, and optimization methods for scientific and engineering applications. Dynamical and complex systems: nonlinear dynamics, mathematical
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domains of nonlinear dynamics, optomechanics/nanomechanics, or signal processing. You have or are about to obtain a PhD in at least one of the following areas: nanoelectromechancics, OR multi-physics
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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 equations
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, and other nonlinear materials that lead to neuromorphic dynamical behavior. Key Responsibilities: Defining detailed experimental steps. Conducting experiments Reporting of results in publications
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dynamics, operator-theoretic analysis, or systems control engineering for the research project, “Quantum nonlinear dynamics theory for understanding, prediction, and control of quantum dynamics ” (Principal
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, ultracold atoms, non-perturbative
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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describing manufacturing process and structural performance are of nonlinear and multiscale nature. As those high fidelity models are not suitable for control applications, equivalent and efficient physics
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developed nonlinear X-ray imaging method; in the other, the student will produce current-switched memristive devices from quantum materials and use coherent X-ray imaging to track the nanoscale dynamics