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large-scale, mental health and well-being project for primary schools in Hong Kong, under Department of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of
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and SPSS, for large and complex data analysis Proven knowledge and experience in undertaking research related to end-of-life care is advantageous What We Offer The appointment will commence from as soon
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, such as artificial intelligence (AI) and big data. The candidate should have a proven ability to work on cross-disciplinary social science topics and a strong interest in exploring AI, society, and social
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applying cutting-edge computational and quantitative methods in social sciences, such as artificial intelligence (AI) and big data. The candidate should have a proven ability to work on cross-disciplinary
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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to address challenges in public health, global health, One Health and Planetary health and those with experience in the use of advanced epidemiologic and/or experimental approaches or the use of big data
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taught postgraduate levels. Information about the School is available at https://english.hku.hk/ . Please note that the School is not involved in English as a Second Language (ESL) teaching. Enquiries
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data
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health and those with experience in the use of advanced epidemiologic and/or experimental approaches or the use of big data analytics to address public health questions in the next frontier of the control