19 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs in Hong Kong
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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date
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learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama/ for more information about the Department
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and computational physics High-energy physics/astrophysics/cosmology Statistical mechanics/complex systems/non-linear physics Machine learning/first-principles calculations/large-scale simulations
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, management science and statistics, FinTech, data science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at https
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) and Artificial Intelligence (AI). The Department envisions to cultivate a comprehensive curriculum that encompasses key research pillars such as Big Data Analytics and Management, Machine Learning and
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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) Translation and Artificial Intelligence (including translation and interpreting technologies, machine learning, and AI applications in translation) Translation and Cultural Studies (including digital humanities
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a skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning techniques to analyze
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://www.polyu.edu.hk/ap for more information about the Department. Duties The appointee will be required to: (a) teach Intelligent Lighting, Machine Vision for Semiconductor Manufacturing and Electron Microscopy
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develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing