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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Harbin Engineering University
- Beijing Normal-Hong Kong Baptist University (BNBU)
- China Center of Advanced Science and Technology
- Haide College, Ocean University of China;
- Hong Kong University of Science and Technology(Guangzhou)
- Institute of Theoretical Physics
- Jinan University - University of Birmingham Joint Institute
- The Hong Kong University of Science and Technology (Guangzhou)
- UNIVERSITY OF MACAU
- UNIVERSITY OF THE WEST OF SCOTLAND
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Field
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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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FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research
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experience, contributing to curriculum design, teaching, assessment, and educational research. They will bring expertise in contemporary pedagogies, including co-creation and active learning, and demonstrate
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, with a strong interest in interdisciplinary research in biophysics. 2. Have a professional background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is
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/Multivariate Statistical Analysis/Biostatistics/Data Science and Technology/Artificial Intelligence/Machine Learning/High-Performance Computing/Big Data and other related fields Responsibilities and Requirements
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the following: An undergraduate qualification in an Engineering, Civil Engineering, Construction Management or related subject area A PhD in a relevant area Evidence of experience of learning, teaching
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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 parent universities
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the Department of Computing: Computer Science and Software Engineering, Computer Graphics and Animation, Computer Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing
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project management. Areas of expertise in Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning