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Artificial Intelligence (DSAI) is a multi-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences established on 1 January 2025. DSAI will be at the forefront of cutting-edge
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as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics and Traumatology
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/188/25] Duties The appointee shall fully engage in research that leads to high-quality research output and acquisition of research grants, and perform any other duties as assigned by the Head of
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14 Feb 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher
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, Hong Kong [map ] Subject Areas: Materials Science / Computational Physics / Condensed Matter Theory Quantum Science & Engineering / Physics Appl Deadline: none (posted 2025/11/04 05:00 AM
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Deadline 15 Mar 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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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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) 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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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533551 Work type: Full-time Department: Faculty