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systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding
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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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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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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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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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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
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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nonlinear optics. Programming skills: Python, Wolfram Mathematica etc. In addition, research experience in one of the following fields is an advantage: Ultrafast pulse characterization (e.g. SHG-FROG) High
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0065-NPP-JUL25-JPL-HelioSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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needed to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure