We are looking for curious, ambitious post-doctoral fellows and students who are interested in working at the intersection of computer science, developmental & cancer biology, and single-cell genomics. Projects involve development of machine learning methods and analysis approaches to derive mechanistic insights about development and disease progression using high throughput data generated across a number of model systems.
We are actively looking for post-doctoral fellows to join us. An ideal candidate will have a background in machine learning, data science, statistics, computational biology, bioinformatics and/or genomics. If interested, please contact email@example.com with your CV, and summary of research interests and goals.
We are looking for exceptional PhD students from diverse quantitative and experimental backgrounds. Projects will be tailored to fit background of the students to range from analysis of large-scale data to computational method development. We welcome students interested in being co-advised with other computational or experimental principal investigators.
We accept students from the Molecular & Cellular Biology Program. Rotations are available starting in January 2021. If interested, please contact firstname.lastname@example.org with your CV, and research interests.
We welcome Masters students and undergraduate students with programming experience. More details coming soon!