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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Central China Normal University
- Duke Kunshan University
- UNIVERSITY OF MACAU
- Beijing Institute of Mathematical Sciences and Applications
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Key Laboratory of New Technologies in Computer Software, it has built teaching platforms such as "Jiangsu Experimental Teaching Center-Software Engineering Experimental Teaching Center" and "National
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High Energy Physics Lattice QCD and Heavy Ion Physics High-Performance Computing Quantum Field Theory (more...) Lattice Field Theory Quantum Computing High-Energy Theory lattice gauge theory Nuclear
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/virtual/mixed reality (VR, AR, XR) Games and Interactive Media Computer graphics and 3D animation Computational design and generative fabrication Art/science research practices Requirement: All candidates
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of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud
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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
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, quantum information, quantum computing. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV • Transcripts in English • Personal statement
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: PhD or equivalent degree in Computer Sciences, Bioinformatics, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI
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intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
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research team Team player and strong collaborator Positive attitude and energy Diversity / Sensitivity ESSENTIAL QUALIFICATIONS/EXPERIENCE: PhD or equivalent degree in Computer Sciences, Bioinformatics
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intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C