206 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Hong Kong
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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk
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equivalent qualifications with strong potential in research. Details of the theme areas and profiles of the Academy of Wellness and Human Development and its Departments are available at: https
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areas and profiles of Academies/Departments are available at: https://fass.hkbu.edu.hk/en/academies/geography-sociology-and-international-studies.html The initial appointment will be offered on a fixed
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to machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications
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. Electrical signals captured from the brain of mice while they engage in different behaviors such as perception, learning and execution of tasks, as well as social interactions are analysed using advanced
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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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staff position within a Research Infrastructure? No Offer Description Responsibilities: Assist in research in behavioral economics, particularly on topics of learning and decision-making; Assist in
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-higher education collaboration, and curriculum development such as the use of EdTech, art-tech, interdisciplinary learning, cross-cultural studies, and performance and pedagogical research. A key component
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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