-
initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
-
computational platforms. • Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. • Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and
-
Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
-
wind tunnels such a temperature/pressure sensitive paints, infrared thermography, PLIF, FLDI etc. • Proficiency in Python • Experience running simulations with high performance computing (HPC) resources