Sort by
Refine Your Search
-
Job Description The research group of Professor Hongliang Xin (xingroup.org) at Virginia Tech invites applications for a full-time Postdoctoral Associate to drive the development of agentic AI
-
research, develop extension materials, and contribute to peer-reviewed publications. The position offers opportunities for professional development in applied research, science communication, and stakeholder
-
more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions
-
distribution of design tools. • Mentor graduate students on research projects and laboratory procedures. • Participate in the development of grant proposals for external funding from NSF, USDA NIFA, and other
-
Job Description The Aylward lab at Virginia Tech is seeking a post-doctoral researcher interested in the evolution and genomics of DNA viruses. The researcher will have the opportunity to work in
-
in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared
-
endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important
-
, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance
-
participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation and perspective, along
-
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