26 high-performance-quantum-computing-"https:"-"https:"-"https:" 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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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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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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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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optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human
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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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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
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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