The selected candidate will be able to contribute to the ongoing projects in the lab, as well as develop their own independent research projects. Several projects are currently available including 1) Deep learning for novel protein family classification; 2) Constructing probabilistic models for co-occurrence analysis based on interaction network 3) Computational tool development to interpret biological patterns from large-scale metagenomic data.
We are looking for creative, self-motivated individuals who are interested in applying computational tools to challenging problems in large-scale microbial genomic analysis.
Applicants who meet the following requirements will be considered for the positions:
A Ph.D. with less than 5 years of postdoctoral experience
Ph.D. in Bioinformatics, microbiology, virology, or a related discipline with intensive training/experience in bioinformatics.
Strong proficiency in Python, R, and Bash
Strong oral and written communications skills;
With a proven track record in this area reflected in recent or pending publications.
A clear sense of organization, purpose, and accountability
Applicants should send a cover letter, curriculum vitae, a statement of research interests, and contact information for three references (names and e-mail addresses) to Dr. Xiaofang Jiang using the following email subject: “PostDoc applicant – FirstName, LastName”.