Summary
The Hong Kong Polytechnic University’s Department of Health Technology and Informatics is seeking a highly qualified Research Fellow to contribute to an innovative project focused on developing an AI-driven single-cell monitoring system for early detection and pathway discovery in infection-associated thrombosis, particularly relevant to long COVID.
Designation
Research Fellow
Research Area
- Integrated AI-driven single-cell monitoring system
- Early detection and pathway discovery in infection-associated thrombosis
- Advancing prevention and treatment strategies for long COVID
- Genomic data analysis
Location
The Hong Kong Polytechnic University, Department of Health Technology and Informatics
Eligibility/Qualification
- Applicants must hold a PhD degree.
- A minimum of three years of postdoctoral research experience or equivalent qualifications and experience is required.
- Candidates should demonstrate a strong publication record in genomic data analysis.
Job Description
The appointee will work under the project leader to assist with research activities for the project titled “Integrated AI-driven single-cell monitoring system for early detection and pathway discovery in infection-associated thrombosis: advancing prevention and treatment strategies for long COVID”. This role involves significant contributions to genomic data analysis and related research tasks.
How to Apply
For further information regarding this position, applicants are encouraged to contact Professor Chien-Ling Huang via telephone at 3400 8602 or by email at cl.huang@polyu.edu.hk.
Last Date for Apply
Consideration of applications will commence on 24 September 2026 and continue until the position is filled.
Apply Link
For official application and details, please refer to the original job posting on The Hong Kong Polytechnic University’s careers portal: https://jobs.polyu.edu.hk/job_detail.php?job=260917006
