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Postdoctoral Associate/Senior Research Associate
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Blacksburg, Virginia
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| We invite applications for postdoctoral associate or research associate positions in theoretical Quantum Information Science in the Physics Department of Virginia Tech. |
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Clinical or Tenure Track Assistant/Associate/Professor in Medical Oncology
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Roanoke, Virginia
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| Join our team of talented, compassionate and dedicated clinicians and staff working in a comprehensive cancer center in our quest to kill cancer! Come make a difference! |
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Postdoctoral Associate/Senior Research Associate in Experimental Nuclear Physics
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Newport News, Virginia
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| The nuclear physics group of Prof. M. Boër at Virginia Tech is inviting applications for a postdoctoral research associate position or senior research associate position. |
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Research Associate Professor
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Blacksburg, Virginia
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| Virginia Tech’s Systems Software Research Group welcomes applications for a Research Associate Professor (non-tenure track). Lead groundbreaking research in program analysis and formal verification to build trustworthy tools for safety and security. Explore areas like scalable analysis, verified OS extensions, automated vulnerability reasoning, and provable security patching—all within a collaborative, innovative environment. |
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Faculty Position in Experimental Fluid Mechanics
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Blacksburg, Virginia
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| The Department of Mechanical Engineering at Virginia Tech seeks applications for a tenure-track faculty position (assistant/associate) in the area of advanced experimental techniques in fluid mechanics, effective August 2026. We seek candidates with experience in a broad range of fundamental and applied studies. Areas of specific interest are, but not limited to, laser diagnostic techniques and other imaging techniques for measuring flow field details such as velocity, structure, species, and temperature. Candidates with expertise in creative measurement techniques for unique applications that may arise with collaborators across the department and college are encouraged to apply. The successful candidate will collaborate with our current theoretical and computational faculty across a broad range of research areas. We are interested in an experimentalist who can develop large datasets in support of emerging artificial intelligence and machine learning driven advances in fluid dynamics. We seek candidates motivated to contribute to a large collegial, interdisciplinary, and thriving Mechanical Engineering Department with a strong tradition of fundamental and applied research. |