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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF MACAU
- Beijing Normal-Hong Kong Baptist University
- Chinese Institute for Brain Research, Beijing
- Hong Kong University of Science and Technology(Guangzhou)
- Jinan University - University of Birmingham Joint Institute
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- The Chinese University of Hong Kong
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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Field
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analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning, online and hybrid learning environments Digital pedagogy, instructional
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following areas, especially where these intersect with AI and digital technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine
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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but
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Research and Cybernetics n (Optional) Interdisciplinary areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research
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of undergraduate and postgraduate programmes, ensuring an excellent studio-based learning experience and alignment with relevant professional and disciplinary expectations. Integrate emerging technologies, including
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/Assistant Professor in Data Science (Ref: FST260209) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning
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intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C
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+ 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 on the strengths of its
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limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science, brain science, and neuroscience); data science and machine learning; modeling
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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but