40 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Hong Kong
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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and application of AI and machine learning methods; (iii) a good track record of research and publication in top peer-reviewed scientific journals in the area of general medicine, cardio
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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machine learning. There are currently 56 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
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with expertise and experience in (1) Generative Modeling, (2) Multimodal Learning, (3) Generative AI and Computer Music, and (4) Efficient AI. Duties The appointees will be required to: (a) conduct
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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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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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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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
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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