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data collection and analysis); and perform other duties as assigned. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V
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review, development of assessment materials, liaise with external parties, supervision of research staff and research interns, data processing and analysis, preparation of manuscripts and reports
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team on an evaluation study examining the impact of technology use on mental health in later life. The appointee will be responsible for data collection, data management and analysis, preparation
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data collection and analysis); and perform other duties as assigned. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets and in using generative AI tools for research purposes is a
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of dissemination events; Coordinate and support training for data collection, cleaning, preparation, analysis and evaluation report writing; Carry out other assigned tasks (as appropriate). This position is
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. Preference will be given to those whose research interests focus on Probability Theory, in particular Random Geometry. Successful applicants are expected to work in the research group of Prof. Wei Qian (https
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online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as
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leave and medical benefits. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants should apply online and upload an up
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research interests focus on Probability Theory, in particular Random Geometry. Successful applicants are expected to work in the research group of Prof. Wei Qian (https://qian.perso.math.cnrs.fr/ ), and to