350 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions in China
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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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. diploma and position start date. DKU is a collaborative partnership of Duke University, Wuhan University and the Municipality of Kunshan, China (https://dukekunshan.edu.cn/ ). Our campus provides
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Diversity University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and
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able to teach a wide variety of courses across the field. A strong interest and ability as a teacher is required.The successful candidate will teach on average five courses per year and will obtain a
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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Municipality of Kunshan, China (https://dukekunshan.edu.cn/ ). Our campus provides an innovative and robustly interdisciplinary undergraduate liberal arts experience to a student body that will number 2200
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Context”. This course is a component of the University’s General Education programme. Ability to teach this course in both English and Chinese languages will be an asset. The Department of History, which
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members have been working on statistics learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative
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information on how to apply, please visit https://rsc.nuist.edu.cn/2021/0608/c1097a178491/page.htm For more information about Nanjing city, please visit https://www.gonanjingchina.com/ We are not accepting
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied