15 application-forms-"https:"-"https:"-"https:"-"Universidade-do-Minho" positions at XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) in China
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fundamental aspects of the world we live in, from the smallest subatomic particles to the Universe as a whole. Building on its existing strengths, the Department is expanding into application-oriented areas
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fundamental aspects of the world we live in, from the smallest subatomic particles to the Universe as a whole. Building on its existing strengths, the Department is expanding into application-oriented areas
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and explain fundamental aspects of the world we live in, from the smallest subatomic particles to the Universe as a whole. The department aims to expand its research in practical applications that drive
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the smallest subatomic particles to the Universe as a whole. The department aims to expand its research in practical applications that drive technological progress and tackle global challenges. such as quantum
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. These programs aim to support excellent scientists, both Chinese and non-Chinese citizens, to work and carry out research in China. Some of the programs are listed in the table below. Successful applications
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the cultivation of future-ready talent equipped to navigate the complexities of the Fourth Industrial Revolution. By combining academic excellence, cutting-edge research, and practical application, XJTLU continues
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chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial
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solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. Job Description We
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supervision capacity; Excellent publications record in an area of expertise; Evidence of success in obtaining research grants; Fluency in English. Successful applicants to more senior professorial ranks
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experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent