Computational RNA Biology and Medicine at UC Davis

[Sharon Aviran]

Hi everyone,

 

The Aviran lab at UC Davis (Genome Center and Biomedical Eng.) has multiple postdoc and PhD openings. We develop statistical models and machine learning algorithms to infer predictive models of RNA folding and RNA function based on high-throughput biological data and apply these methods in large-scale genomic data analyses in collaboration with biologists.

We are seeking scientists/students to work on two collaborative NIH-funded projects involving modeling of folding thermodynamics for mRNAs with modified nucleotides (in the context of mRNA therapies) and transcriptome-wide mechanistic studies of RNA helicase binding (RNA-protein interactions). The research on RNA folding will be carried out in collaboration with Prof. David Mathews at the University of Rochester. The research on RNA-protein interactions will continue to be carried out in collaboration with Prof. Elizabeth Tran at Purdue University.

 

To Apply

Interested candidates should submit a cover letter stating their interests in our research, a CV with a list of publications (if applicable for career stage), and contact information for three or more references to Prof. Aviran (saviran at ucdavis dot edu). Informal inquiries are welcome. Successful candidates will join a large, diverse, and collaborative Genome Center and a vibrant Biomedical Engineering department at UC Davis.

More info at https://aviranlab.bme.ucdavis.edu/open-positions-2023/ 

 

Sharon

 

Sharon Aviran

Associate Professor, Biomedical Engineering & Genome Center 

University of California, Davis

Office: 2319 GBSF | Lab: 3303A GBSF | Web: aviranlab.bme.ucdavis.edu