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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Computer Science and Technology/Artificial Intelligence (Ref: FST250903) Job Description Candidates with expertise in one or more of the following areas: Artificial intelligence, computer vision and pattern
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-2027. Potential areas of focus include but are not limited to software engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded
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hands-on research experience. Number of Positions: Multiple (open until filled) Position Duration: Interns: ≥5 months (on-site); Prospective Masters Students: Long-term (aligned with master’s program
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materials, quantum error correction, and quantum simulations. • Quantum for AI: We explore the principles of quantum mechanics and statistical physics to design next-generation AI architectures, driving
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featuring interdisciplinary convergence. ZJUI conducts teaching and multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials
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scientific computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate
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Assistant Professor/Associate Professor/Senior Associate Professor/ Professor in Applied Mathematics
MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and scientific computing, control theory and
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growth mechanism. Outstanding candidates may be selected for the University’s “Runyuan Distinguished Talent Program,” which provides additional position subsidies and substantial research funding support
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development exemplify this direction. The proposed BSc Computational Linguistics will bring together language and linguistic inquiry with computational approaches, while the proposed MSc AI, Data and Society
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to: Play a key role in the development and delivery of the Department’s core modules on AI, big data, and emerging technologies, thereby bringing computational, data-driven, and AI-related approaches