Applications are invited for appointment as Post-doctoral Fellow in the School of Biomedical Sciences (Ref.: 515885), to commence as soon as possible for one year with possibility of renewal.
Applicants should have a Ph.D. degree in a biological, computational, or quantitative field, with experience in genomic data analysis, Bayesian statistical modeling, and/or deep learning algorithms. They should be organized, self-motivated, and able to work independently as well as in a team. Applicants should be proficient in R, Python, or C++, and they should also be competent in Linux and Bash. Additionally, applicants are expected to have at least one (co-) first author paper submitted, accepted, or published, as well as one public Git repository.
The appointee will lead research projects in cancer genomics under the supervision of Dr. David Shih. Enquiries about this post should be sent to Dr. Shih at firstname.lastname@example.org. More information about the projects is available at https://djhshih.github.io.
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 from August 1, 2022 and continue until December 30, 2022, or until the post is filled, whichever is earlier.