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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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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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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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constituencies. • Demonstrated ability to work with sensitive and confidential matters and perform duties with a high level of professionalism, confidentiality, flexibility, discretion, judgment, diplomacy, and
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Development (HBCD) Study at Virginia Tech. The Research Assistants will join a team of other Research Assistants in the lab and be responsible for the day-to-day functioning of all HBCD research activities and
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Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high
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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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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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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