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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
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years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
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testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design
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no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing
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, sustainable materials, or engineering to contribute to our ongoing research on improving the hygrothermal performance, structural modeling, and durability of CLT, including hybrid and thermally modified wood
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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literature reviews to identify cutting-edge PFAS source fingerprinting and forensics techniques. 2. Perform advanced laboratory analyses for PFAS detection and quantification, including but not limited
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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of renewal based on funding availability and performance. The anticipated start date for this position is May 2026. Appointment Description: The Kohl Centre at Virginia Tech is a pioneering interdisciplinary
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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