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Job Description The Department of Civil and Environmental Engineering at Virginia Tech invites applications for a Postdoctoral Associate in the area of AI for hydrologic forecasting. The successful
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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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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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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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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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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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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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. The successful
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work with colleagues from Virginia Tech and other collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore