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Ref.: 534070 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Teaching Assistant in the School of Computing and Data Science (several posts
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integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http
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programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A highly competitive salary commensurate with qualifications and experience will
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and delivery of teaching in the Faculty’s undergraduate and postgraduate programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A
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http://www.cds.hku.hk . The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT
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disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk . The Positions The positions are open
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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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application for the above post. Applicants should apply online and upload an up-to-date CV as well as statements of research and teaching. Please ensure your CV includes your ORCID website link, H-index (as per
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data