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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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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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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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, cancer cells and stem-cell based methodologies. The successful candidate will join a collaborative and interdisciplinary project which integrates cancer biology, stem cells, organoids, microscopy
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on thalamo-hippocampal circuits underlying social aggression and pain regulation, with the goal of uncovering novel mechanisms that shape complex behaviors. This is an excellent opportunity for individuals
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for extension based on performance and funding availability. The position is immediately available. Review of applications will continue until the position is filled. The initial appointment will be for one year
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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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, DC area; understand the human and animal-related factors that impact pet retention and relinquishment in these communities; develop and implement evidence-based, animal behavior-related interventions