17 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "U.S" "U.S" Postdoctoral positions at Virginia Tech
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the U.S. Department of Energy, collaborate with external partners, and mentor graduate and undergraduate students. This role is designed to provide professional growth toward an independent research career
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Electrical and Computer Engineering Ph.D. programs. Both programs continuously rank top in the U.S. The latest Global Universities ranking by U.S. News & World Report (USN&WR) places the Virginia Tech ECE
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the Shin Lab: • https://news.vt.edu/articles/2025/07/research_fralinbiomed_shinR01_mmdd.html • https://news.vt.edu/articles/2023/11/research_fbri_shinstress_1123.html Responsibilities: • Lead an independent
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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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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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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of appointment with a minimum of one year eligibility remaining. - Strong promise of developing an active research program in an area that can be mentored by the Mathematics Department faculty. Preferred
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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