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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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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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Job Description The successful candidate will join a vibrant research environment in the group of Prof. Vito Scarola at Virginia Tech (scarola.phys.vt.edu). The research involves the construction
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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- Significant statistical analysis experience with multilevel and/or longitudinal data - Strong conceptual and written communication skills Preferred Qualifications - Staff and graduate student supervision