Sort by
Refine Your Search
-
systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
-
interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
-
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
-
reinforcement learning and/or tensor networks are preferred. Other responsibilities include communicating results in journal publications and conferences as well as mentoring junior members of the group
-
Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
-
, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless
-
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
-
. 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
-
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
-
wireless networks. For further information about potential research directions, please visit: https://people.cs.vt.edu/boji https://ece.vt.edu/people/profile/liul.html Required Qualifications - Ph.D. in