60 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
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. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403928
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, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403883/post-doctoral-fello… Requirements Additional Information Work Location(s) Number
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to apply Website https://www.timeshighereducation.com/unijobs/listing/403191/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE
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three reference letters. Review of applications will start from 21 November 2025 and continue until 23 January 2026, or until the post is filled, whichever is earlier. Where to apply Website https
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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-to-date C.V., job market
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a Ph.D. degree in Biochemistry, Structural Biology, or a related field, and demonstrate exceptional experimental, writing, and communication abilities. Our laboratory focuses on deciphering
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
studies using animal models (e.g., transgenic mice) to evaluate disease progression and therapeutic efficacy. Utilize induced pluripotent stem cell (iPSC) technology to create disease-in-a-dish models for
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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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-term basis, with the possibility of renewal, subject to financial availability and satisfactory performance. Applicants should possess a Ph.D. degree in Chemistry, Engineering, Medicine, Biology or other
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in