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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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) (to commence as soon as possible for 12 months, with the possibility of renewal subject to satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple
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with a Master’s degree with at least 1 years’ post-qualification experience may be considered for appointment as Senior Research Assistant. They must be proficient in data analysis using statistical
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and
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possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
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satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics, Computer Science, or related disciplines. They should have an excellent command of written and
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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, Statistics, Computer Science, or a related discipline. Priority will be given to those with an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer
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with a focus on research in Sociology, Economics, Social Work, Social Policy, Social Statistics, or a related discipline. They should have a strong background in robust and innovative social science