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communication skills in both English and Chinese; and the ability to work independently as well as in collaboration with a multidisciplinary team. The appointee will be responsible for a project funded by the
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
general audience in both English and Chinese. Good organizational skills, the ability to work independently and interdependently within a team on a tight schedule are essential to succeed in this role
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R