Apply for the Vacancy for Assistant Professor at the University of Hong Kong. The category of the position is Health – Public and Environmental Health.
Applicants should have a Ph.D. degree in bioinformatics, genetics, computational biology, or other relevant disciplines, with in-depth knowledge of at least one of the following programming languages: Python, C/C++, JAVA, and R.
Additionally, they should demonstrate evidence of international recognition and scholarship, and the capacity of high-quality impactful research indicated by a good track record of publications and external grants. Likewise, experience in analyzing high-throughput data in viral genetics and immunity will be an advantage. Furthermore, the University will give preference to those with expertise in bioinformatics and computational biology, and with strong interests in translational research.
The appointee will develop AI-based analytics for data generated from the Harvard Medical School’s VirScan platform to evaluate the comprehensive antibody repertoire and decipher exposure histories of known and novel pathogens, and integrate the analytics to predict immune protection to delineate key epitopes for vaccine development. Additionally, he/She will also contribute to the teaching and supervision of postgraduate research students.
The University will offer a highly competitive salary commensurate with qualifications and experience. Also, annual leave and medical benefits. Moreover, at current rates, salaries tax does not exceed 15% of gross income. Furthermore, the appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme. It totals up to 15% of the basic salary. Housing benefits will be provided as applicable.
The University of Hong Kong is a public research university in Hong Kong. Founded in 1911, its origins trace back to the Hong Kong College of Medicine for Chinese, which was founded in 1887. It is the oldest tertiary institution in Hong Kong.
Visit the official page for more information. Also, visit oyaop.com for more opportunities.
Type of Opportunity | Academic Job |
---|---|
Deadline | 01 November,2020 |
Country | Hong kong |
Company Name | University if Hong kong |
City | Hong Kong |