375 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" positions in China
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for the management of modules needed by new Academics across Faculties for qualification/accreditation to teach in the UK higher education system. The programme and material for the teaching and assessment
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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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diploma/Ph.D. 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
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extended by mutual agreement. Applicants are invited to submit their applications via the application link https://jobs.nottingham.edu.cn/job/184369/ by 23:59 Beijing Time, 15 May 2026, which should include
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a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities and plays a pivotal role in facilitating access to China for the UK and other
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the exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities and plays
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the exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching and research, XJTLU draws on the strengths of its parent universities and plays a
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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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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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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