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dynamical systems, non-equilibrium statistical mechanics, quantum & classical chaos and complex systems, quantum dynamics and quantum information, machine learning and dynamical systems, stochastic biological
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and settle down, and it is totally comfortable to speak English in the campus. Requirements: PhD in Math, Computer Science, Mechanical Engineering, Aerospace Engineering or equivalent. Publication
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to speak English in the campus. Requirements: PhD in Mechanical Engineering, Aerospace Engineering or equivalent. Publication record in top journals. Capacity to communicate fluently in English. Experiences
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of the following areas: fluid mechanics, biology, physiology, computer vision, or other applications in engineering or biomedicine. Expertise in Python, C/C++ or other program languages. We encourage PhD applicants
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sustainability challenges. Breakthrough innovation (BI)—a critical element of innovation strategy enabling performance enhancement—has emerged as a vital approach for gaining competitive advantages and capturing
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technical factor that might have a profound impact on firms’ environmental, social, and governance (ESG) performance. This project seeks to examine how digitalization impacts on firms’ ESG performance and the