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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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glioblastoma microenvironment. This translational study will utilize patient tissues in established pre-clinical in vitro model systems and histological tissue analyses to generate data for correlation with
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in mouse models. • Carry out molecular and cellular techniques, including molecular cloning, brain sectioning, cardiac perfusion, and immunohistochemistry. • Conduct tissue culture and assist in viral
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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models to investigate the biological roles of MVs in S. aureus pathogenesis and to assess the efficiency of vaccine candidate against S. aureus infections. In addition to the research role, the candidate
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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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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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industry cooperatives such as the Forest Productivity Cooperative, the Forest Modeling and Research Cooperative, and the Forest Operations and Business Research Cooperative. About the College of Natural
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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
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whose research and teaching interests focus on quantitative empirical modeling. Overtime Status Exempt: Not eligible for overtime Appointment Type Regular Salary Information Hours per week 40 Review Date