26 embedded-system-"https:"-"https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly
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21 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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-to-date C.V. Review of applications will start from 21 January, 2026 and continue until 6 April, 2026 , or until the post is filled, whichever is earlier. The University is an equal opportunities employer
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continue until 6 April, 2026 , or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and
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-to-date C.V. Review of applications will start as soon as possible and continue until January 30 , 202 6 , or until the post is filled, whichever is earlier. The University is an equal opportunities
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics of Traumatology, School of Clinical of Medicine is seeking a highly motivated and
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commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include
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of applications and interview of candidates will commence as soon as possible and continue until December 20, 2025, or until the post is filled, whichever is earlier. The University is an equal opportunities
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research experience and publication record, and contact information for two referees. Review of applications will begin as soon as possible and continue until 30 April 2026, or until the position is filled
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images