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stress contagion and collective motion, as well as survey data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies
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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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to incorporate these methods into models based on systematic testing and validation relative to current and historical data. This position will work closely with Virginia’s Land Use-Value Assessment Program
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; generating CFD datasets using new models for specific applications. This position is based at Virginia Tech's main campus in Blacksburg, VA and offers opportunities for teaching and service-related activities
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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across Virginia, ecological experiments in our research orchard at Virginia Tech, and survey-based socio-economic research to understand how fruit quality is shaped by the orchard agroecosystem and
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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed
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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
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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping