361 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in China
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to Assistant Professors during their appointment. Ph.D. in one of the fields represented at BIMSA should be completed before the appointment begins. Further information: Research groups: https://www.bimsa.cn
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areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research potential or established academic records in these areas
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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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through XJTLU Education + AI framework, and the continued development of new academies to build an institutional ecosystem. With a focus on innovative learning and teaching, and research, XJTLU draws
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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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administration or data analytics, such as Applied Psychology, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability
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seeks a distinguished scholar for a faculty position at the Full Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic
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of the cross-campus innovation platforms, serves as the cornerstone for catalysing entrepreneurial learning, applied research, and venture development. EEH is led by a Director and consists of four divisions
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teaching/industrial experience. The successful applicants should be able to design and teach courses in International Business Management and teach a broader area of fundamentals of digital business
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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