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to the delivery and development of the teaching for the Civil Engineering programme in Changsha, China. This is a teaching focused role which will allow the role holder to grow their teaching experience and start a
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educational technology, AI in education, artificial intelligence, computer science, or related areas; (2) a clearly defined research agenda at the intersection of information technology/artificial intelligence
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achievements, working experience, etc. The university will provide full support for the applications. Talent/Research Programme-Funding Outstanding Youth Science Foundation Project (Overseas) - RMB 1-3 Million
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the selected candidate’s qualifications and experience. Applications for relevant projects and programs will be encouraged and supported. Post-doc(s) who are selected by the China Postdoctoral Science Foundation
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encouraged and supported. For post-doc(s) who are selected by China Postdoctoral Science Foundation or Advanced Programs of Zhejiang Province will be entitled to receive the same amount funds from the Hangzhou
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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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exchanges. All courses and lectures are provided in English, and students who complete the program and meet the degree requirements will receive two degrees both from Nanjing University and the University
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and experience. Applications for relevant projects and programs will be encouraged and supported. Post-doc(s) who are selected by the China Postdoctoral Science Foundation or Advanced Programs
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. The University is entering an exciting phase with its ten-year strategic plan, focused on the Syntegrative Education (SE) model. This includes the development of the Entrepreneur College (Taicang), expansion
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis