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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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are invited for a postdoctoral researcher position in Numerical Methods for Nonlinear PDEs at the Department of Mathematics at North Carolina State University. This position focuses on developing numerical
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, with expertise in the fields of optimization, machine learning, nonlinear and computational methods, applied mathematics, experimental methodologies for optimization algorithms. Desired: Self-motivated
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P (2012). Phantom tones and suppressive masking by active nonlinear oscillation of the hair-cell bundle. P.N.A.S. 109 : E1344-51 Barral J, Dierkes K, Lindner B, Jülicher J, and Martin P (2010
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and control of windfarms For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, data-driven nonlinear model
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numerical studies for non-local flow-driven magnetized plasma instabilities and their associated nonlinear transport in astrophysical and laboratory plasmas. The applicant is required to have a PhD in physics
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. Keywords: systems biology, developmental biology, dynamical systems, evolution, nonlinear dynamics, biophysics, machine learning, evo-devo Main responsibilities The successful applicant will lead the
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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Computational Mathematics invites applications for Postdoctoral Research Associate or more senior positions, to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial
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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems