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are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
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Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
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interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
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techniques (e.g., SEM, XPS, ICP, XRD, TEM, or similar) evidenced by data collection or analysis in publications/reports. • Knowledge of corrosion science, demonstrated by coursework, thesis/dissertation
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. Virginia Tech researchers have developed a CLT structural analysis methodologies, predicted strength properties for new species and configurations, in addition to investigating the use of hardwood in CLT
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publications. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work independently and collaboratively in an interdisciplinary research environment
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. • Excellent communication and organization skills and ability to work collaboratively with diverse teams. Preferred Qualifications • Expertise in agricultural economics, health economics, policy analysis, small
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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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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presentations. - Possess a solid background in addiction or health behaviors research and/or behavioral economics. Preferred Qualifications - Experience with behavior analysis and/or addiction research