179 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Hong Kong
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control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 54 academic staff and about 105 research
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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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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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Responsibilities: Assist in research in behavioral economics, particularly on topics of learning and decision-making; Assist in literature review; and Conduct experiments and data analysis
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are encouraged to apply. A successful candidate will be fully supported by the Hong Kong Governmental Research Talent Hub scheme (https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-talent-hub
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and Human Development and its Departments are available at: https://fass.hkbu.edu.hk/en/academies/wellness-and-human-development.html The initial appointment will be offered on a fixed-term contract of
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: Candidates for open-rank positions should hold or be nearing completion of a Ph.D. in business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence
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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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these topics from perspectives such as human-machine communication, mobile communication, and health communication, employing mixed methodologies (e.g., experimental, computational, and qualitative approaches
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relevant doctoral degree or equivalent qualifications with strong potential in research. Details of the theme areas and profiles of Academies/Departments are available at: https://fass.hkbu.edu.hk/en