Gene expression and proteomics data are being integrated with bioinformatics and chemical kinetics to generate
predictive models of cells and apply them to solve problems in human health and biotechnology.
The successful candidate is expected to have a Ph.D. in physics, math, engineering, mathematical/theoretical biology, or computer science.
Experience in conducting interdisciplinary projects, high communication skills, knowledge in biochemistry/molecular biology, and modeling biological
systems are prefered.
Techniques in statistical mechanics, notably multi scale analysis and molecular dynamics, are being used to develop computational approaches for predicting viral structural transitions and other processes, designing anti-viral vaccines and drugs, liposomes and viral capsids for delivery of therapuetic agents, and medical imaging flourescent particles. Experience in statistical mechanics, numerical simulation, or theoretical physics / chemistry are required.
See our presentations for more details about our research.
Send resume, sample work and emails and addresses of three references to ortoleva (at) indiana . edu.