479 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Hong Kong
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information about the Department. The Department is looking for enthusiastic, established and suitably qualified person to join the Department to take part in a number of teaching and research activities
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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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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number
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from school to work”. He/She will be required to: (a) assist in project implementation, including preparation of project materials, literature review, data collection, data entry and analysis as
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Psychology, Cognitive Neuroscience or other related disciplines; (b) be proficient in computer programming, e.g. Matlab and R; (c) have a good command of both written and spoken English; and (d) have
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; compensation and benefits; staff development and training; staff appraisal, reward and sanction matters, etc.; (c) search, collate and compile information / statistics independently under the guidance
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the longitudinal healthy longevity study: Objective health measures and cancer awareness screening”. He/She will be required to: (a) assist in the general management of the project; (b) assist in data
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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