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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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, characterization, model extraction and apply device model in the circuit design; Circuit design optimization; Using Cadence for circuit design and ADS for RF circuit design; Circuit implementation and
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biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field. Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including