307 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in China
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Mathematics, and Data Sciences, etc. For more information about the College, please visit https://mathen.hrbeu.edu.cn/ . Application Materials Required: Submit the following items online at this website
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Computer Science and Technology/Artificial Intelligence (Ref: FST241108) Job Description Candidates with expertise in one or more of the following areas: Artificial Intelligence, Computer Vision and Pattern
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Summer teaching). The ELC is committed to empowering students to succeed in University studies and in life by engaging them in English, academic and global skills learning. The ELC seeks to achieve its
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial Mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected to teach post graduate
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. Dalian offers an ideal living and working environment for academics and their families. Learn more about Dalian: https://wikitravel.org/en/Dalian Daily Life Support n For faculty position l Priority
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join its team of scholars in the field of comparative and international education. Candidates with research strength on digital learning technologies in higher education are particularly welcomed
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materials should be sent directly to mathjobs.org. More information about the University is available on the University's homepage at https://hkust.edu.hk . Application Materials Required: Submit
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the postdoc position should contact a specific faculty member directly. For a list of faculty members and their expertise, please refer to https://www.eitech.edu.cn/?teachers_category=teachers-list&lang=en
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, assessment, and educational research. They will bring expertise in contemporary pedagogies, including co-creation and active learning, and demonstrate effective practice in digital education and online