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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- ; Xi'an Jiaotong - Liverpool University
- Duke Kunshan University
- Harbin Engineering University
- UNIVERSITY OF MACAU
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Hong Kong University of Science and Technology(Guangzhou)
- School of Sciences
- The Hong Kong University of Science and Technology (Guangzhou)
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should have a PhD degree in related fields by the time of employment. Artist candidates should also have a portfolio demonstrating sustained creative practice. The appointee is expected to (i) teach
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intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
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maintain an active agenda of creative practice and scholarship. The successful candidate will be able to teach in areas such as interface design, digital imaging, computer graphics, machine reading, data
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(MFA/PhD) at the time of appointment. We seek candidates with expertise in immersive media, machine learning/generative AI, and/or game development. The successful candidate will have a record of
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the establishment of four new Academies. The SE model aims to address future societal and industrial challenges through innovative education. To learn more, visit www.xjtlu.edu.cn . ABOUT THE ACADEMY
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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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, 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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for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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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