10 machine-learning "https:" "https:" "https:" "https:" positions at City University of Hong Kong
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business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence, or related fields by September 2026. Preference will be given to those with a proven
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. 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 performance in Physics or related
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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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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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of Computer Science has internationally known research groups in a number of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation
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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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Duties Teach information management, information systems audit, security management, artificial intelligence, machine learning, social media analytics, large language modelling, prompt engineering
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“expected output index” worldwide in Electrical and Electronic Engineering by Times Higher Education World University Rankings 2018. Duties Teach and supervise student projects at both undergraduate and
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Duties Teach information management, information systems audit, security management, artificial intelligence, machine learning, social media analytics, large language modelling, prompt engineering
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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