19 high-performance-quantum-computing "https:" Postdoctoral research jobs at Virginia Tech
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Job Description We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech. The successful candidate will work
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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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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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Job Description A postdoctoral opening is immediately available in the Soft Materials and Structures Lab under the direction of Dr. Michael Bartlett at Virginia Tech (https://bartlett.me.vt.edu
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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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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
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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
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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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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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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning