Graduate Research Opportunities

Assistantships are available for students interested in pursuing Ph.D. research in bioinformatics and/or computational systems biology. Active research areas in the lab include computational identification of disease biomarkers from high-throughput omics data and machine learning-based inference of gene regulatory networks (GRNs) from single-cell data. We currently have openings in two projects from these areas: (1) biomarker discovery for post-traumatic stress disorder (PTSD) from clinical and molecular data collected from military populations, and (2) application of deep learning techniques to rapidly and accurately infer GRNs from single-cell RNA-sequencing data.

The successful candidate should be highly motivated and have some R and/or Python programming experience. Prior research experience in bioinformatics and/or computational biology is desirable. Details about admission and degree requirements can be found here (Ph.D., Biological Sciences). To ensure full consideration, applications should be completed by February 1. Accepted students will be supported through a graduate assistantship.

If interested, please first email Dr. Daigle your CV and a concise statement describing your interest in the position, previous research experience, and relevant coursework.