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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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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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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
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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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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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biodiversity surveys for plants, microbes, and insects, soil health analysis, phytochemical analysis of fruits, and design and analysis of economic surveys. They will communicate results broadly to both
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concurrent duties - Excellent communication skills - Strong track record of publishing in peer-reviewed journals Preferred Qualifications - Proficiency with data analysis and visualization in R - Experience
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awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience in high-throughput sequencing data analysis. - Track record of first
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, 2022 ( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using
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optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman