68 computing "https:" "https:" "https:" "Kyoto university" Postdoctoral positions in Hong Kong
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Sep 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Ref.: 534748 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
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-Doctoral Research Fellow in theoretical or computational neuroscience / Post-Doctoral Research Fellow in mouse in vivo experimental neuroscience / Post-Doctoral Research Fellow in molecular experimental
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) Established
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) 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 to staff position within a
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organoid development, under the supervision of Professor Jade L. L. Teng. For inquiries, please contact Professor Teng at llteng@hku.hk . Further information about the Faculty can be found at https
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level