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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- BNU-HKBU United International College
- ; Xi'an Jiaotong - Liverpool University
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- The Hong Kong University of Science and Technology (Guangzhou)
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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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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
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-of-ai-and-advanced-computing Responsibilities and Duties We are looking for future colleagues in all fields of Computer Science, Data Science, Artificial Intelligence, Machine Learning, Deep Learning
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, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial intelligence, or mathematical modelling who can
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Technologies; Sustainable Exploitation & Utilization of Resources; Cycling and Extraction of Key Elements; Carbon Capture, Utilization, and Storage; Machine Learning for Energy Materials; Advanced Manufacture
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internationally. Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural
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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 UK and other institutional partners
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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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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
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modeling. These projects will focus on how to leverage ideas from a combination of partial differential equation based computational methodologies and machine learning techniques to develop computational