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Our research team is developing a Generation Risk Assessment (GRA) models to optimize the performance of power generation systems. As a part of this project, we are developing a system reliability coupled with the Bayesian updating framework in order to facilitate dynamic updating of risk and reliability estimates as new inspection and surveillance data become available. There is an opening for a fully-funded PhD student in this research project. 

Bioprocess development for biomanufacturing or environmental applications, specifically focused on microbial strain engineering via genetic engineering and metabolic engineering.