28 assistant-professor-and-human-centered-computing Postdoctoral positions at Virginia Tech
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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per year, if mutually desired. Research will focus on multi-level investigation of safety-critical human-in-the-loop systems that collaborate with automated/autonomous decision-aid technologies. Desired
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Job Description The research group of Professor Hongliang Xin (xingroup.org) at Virginia Tech invites applications for a full-time Postdoctoral Associate to drive the development of agentic AI
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Job Description The Kohl Center in the Department of Agricultural and Applied Economics at Virginia Tech invites applications for a non-tenured position at the rank of Postdoctoral Associate with a
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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Virginia Tech as an assistant professor in January 2026. Virginia Tech (Virginia Polytechnic Institute and State University) is an internationally recognized research university, particularly known for its
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minimum of one year eligibility remaining. • Strong background in computational modeling, AI-assisted modeling, microbial testing, or paper chemistry and structural evaluation. • Experience with fiber-based
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Job Description Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech
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at Virginia Tech and at the Virginia Tech Center for Quantum Information Science and Engineering. There will be plenty of opportunities for collaboration with other members of the group and with some of the
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches