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Apr 2 2026 China Standard Time Applications Close: Jun 30 2026 11:55 PM China Standard Time Back to search results A
Applications are invited for appointment as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 534926), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance.
Applicants should possess a Ph.D. degree in biological science, biomedical sciences, bioinformatics or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available. Additional basic laboratory skills in handling clinical samples (e.g. FFPE tissue, blood), preparation of samples for scRNA-seq and DNA/RNA extractions will be desirable. Enquiries about the duties of the post should be sent to Dr. Maximus Yeung at mcfyeung@hku.hk.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until June 30, 2026, or until the post is filled, whichever is earlier.
Applications Open: China Standard Time
Applications Close: China Standard Time
Location & Eligibility
Listing Details
- Posted
- April 2, 2026
- First seen
- October 7, 2026
- Last seen
- October 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 11%
- Scored at
- October 7, 2026
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