497 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Virginia Tech
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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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Job Description Help put the Virginia Tech Transportation Institute’s research to practice, by delivering in class presentations and hands-on demonstrations to teach the importance of sharing
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Prosim (That I May Serve). Required Qualifications Experience • Experience with writing reports or similar documents. • Experience working with the public. • Demonstrated computer experience. Skills and
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seeking hard working, innovative, flexible, and qualified individual with an interest to learn, participate in, and deliver transportation related research and as well as putting that research to practice
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other members of the group and with some of the leading experimental and theory groups around the world. Our group is part of the DOE Quantum Center “Codesign for quantum advantage” (https://www.bnl.gov
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dedicated to fostering a supportive learning environment. Additional information about the department is available at https://marketing.pamplin.vt.edu/ Required Qualifications The successful candidate must
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training. Lab Website: https://fbri.vtc.vt.edu/research/labs/shin.html This position combines hands-on laboratory research with computational/programming experience (MATLAB/Python), along with lab management
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roads. (https://www.youtube.com/watch?v=Nj4VWviw5JA). The Division of Freight, Transit, and Heavy Vehicle Safety (DHVY), a research-focused group within VTTI, seeks qualified, experienced and ambitious
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, and others to improve transportation safety and performance on our roadways. (https://www.youtube.com/watch?v=Nj4VWviw5JA) The Division of Freight, Transit, and Heavy Vehicle Safety (DHVY), a research
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meetings. The individual will be a core member of Virginia Tech’s Invasive Species Collaborative (https://invasivespeciesvt.org/). This newly funded Destination Area (DA) is a university-wide initiative