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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/). The position is in the area of soft electronics, adhesion science, and system integration. The...
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Job Description The Furst Lab at the Virginia Tech Occoquan Watershed Monitoring Laboratory (OWML) invites applications for a Postdoctoral Associate position in the area of per- and polyfluoroalkyl substances (PFAS) research. The Postdoctoral Associate will lead research on the fate and...
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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Job Description The Nuclear Materials and Fuel Cycle Center (NMFC) at Virginia Tech seeks a highly motivated Postdoctoral Associate to lead and support projects on corrosion and materials performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the...
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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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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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elements • Design and perform long-term laboratory testing on thermally modified wood CLT assemblies with various protective coatings. • Collect, process, and analyze experimental data; prepare technical
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Qualifications •Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging