60 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Hong Kong
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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 research papers. They should be organized, self
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1, 2025 or as soon as possible, for one year, with the possibility of renewal subject to satisfactory performance) Applicants should possess a doctoral or master’s degree in Education, the Learning
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site (https://jobs.hku.hk ). Applicants should apply online and upload an up-to-date C.V. Review of applications will start from as soon as possible and continue until (January 23, 2026), or until
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-to-date C.V. Review of applications will start as soon as possible and continue until December 20, 2025, or until the post is filled, whichever is earlier. Where to apply Website https
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advertisement (Ref: 526276) need not re-apply. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https
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addition to annual 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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transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404052/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
with the Principal Investigator and the project team in the “Psychometric and Statistical Analysis for Assessing Longitudinally Students’ Growth in their Capacity for Learning in a Digital World (LDW
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, in addition to annual leave, 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
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to oversee the research timeline, develop data-driven methodology to inform the learning and teaching of Chinese for multicultural students, design research questions, review literature, manage data collection