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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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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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Director of the PGCHE programme is responsible for the management of modules needed by new Academics across Faculties for qualification/accreditation to teach in the UK higher education system. The programme
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programme development experience, Experience in building academic teams and/or faculty mentoring, Familiarity with new technologies, such as AI, that foster innovative teaching and learning, and A record of
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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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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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generous grants. The review of applications will begin immediately and continue until the positions are filled. Further Information: Research groups: http://www.bimsa.cn/research_groups Application Materials
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cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded
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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