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, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR
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Deadline 30 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
cell (iPSC) technology to create disease-in-a-dish models for high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel
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diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise
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or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a doctoral degree (Ph.D.) in Stem Cell Biology, Molecular Biology, Developmental Biology, or a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 534195 Work type: Full-time Department: The Hong Kong Jockey
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) Application Deadline 21 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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the possibility of renewal subject to satisfactory performance and availability of funding. About the ORIGINS COLLECTIVE The ORIGINS COLLECTIVE at The University of Hong Kong is a newly established research
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data