171 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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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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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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of genomics, transcriptomics, proteomics, and metabolomics data, as well as expertise in molecular docking, virtual drug screening, and the application of deep learning and machine learning algorithms
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Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise teaching and learning materials; (d) work on meeting self-identified professional development
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learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative leadership and management experience in universities or healthcare settings
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise innovative teaching and learning materials; (d) work on meeting self-identified professional
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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, and able to work in an interdisciplinary and multicultural environment. The appointees will teach courses in medicine, public health, and/or global health and development; manage interdisciplinary
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research-led comprehensive university by upholding the highest international standards of excellence in its research, scholarship, teaching and learning, and service to the community. The University is