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Mathjobs.org | 25 days ago
, asymptotic laws for diffusion processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed
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dynamics and mathematical modeling Knowledge in advanced control methods such as nonlinear control preferred Experience in programming (especially Matlab/Simulink) is preferred Ability to take
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control of finite and infinite dimensional systems; nonlinear and hybrid dynamical systems; stability and bifurcation theory; stochastic dynamics and control; optimization-based and model-predictive control
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systems, such as in the context of assistive robotics and human-robot interactions Possess a strong background in nonlinear, model-based, adaptive, and/or learning-based control Have excellent
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single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and
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molecular species and has applications in environmental monitoring, biomedical diagnostics, industrial process control, and fundamental research. Project background The project will focus on the development
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hand, the physics-based models describing manufacturing process and structural performance are of nonlinear and multiscale nature. As those high fidelity models are not suitable for control
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Okinawa Institute of Science and Technology | JP Nagar III Phase, Karnataka | India | about 1 hour ago
, asymptotic laws for diffusion processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed
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nonlinear MEMS-based oscillators driven by storage-ring radio-frequency (RF) signals to enable advanced manipulation of X-ray pulses. Background information on the project can be found in the
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-doctoral researchers, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control