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PhD position at the Data-Driven Dymanics Lab, University of Southern California, USA, in data-driven methods and machine learning algorithms for reduced order modeling in nonlinear systems and structures. Applicants must have a four years Bachelor’s degree in Engineering, Math, or Hard Science, demostrated research ability and experience, and a background in non linear dynamics is essential for this position.

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