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Field
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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, including GKP state generation and nonlinear gates. EPIQUE (Horizon Europe): Cluster state generation on photonic integrated chips and its integration into a measurement-based Gaussian Boson Sampling machine
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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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methods at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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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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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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vehicles chargers, or nonlinear loads Experience in hardware-in-the-loop testbeds and digital twin creation Experience with SEL RTAC 3555 or similar Experience in advanced microgrid controls such as
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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to precisely shift microbiomes to desired metabolic states. Our research combines multiplexed measurements of single cells, populations and ecosystems with concepts from nonlinear dynamical systems, control