Sort by
Refine Your Search
-
decision-making, with a focus on dopamine neural coding and its dysfunction. Please see: Amo et al., Neuron, 2024 (https://www.cell.com/neuron/fulltext/S0896-6273(23)00979-0 ) Amo et al., Nature Neuroscience
-
Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
-
the following two research directions: - Electrochemical CO2 reduction: electrocatalyst development; flow reactor design; integrated CO2 capture and reduction. - Electrochemical NOx reduction and building C-N
-
. 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
-
between the Senger and Wright research groups as a Postdoctoral Research Associate. The successful candidate will play a central role in a multidisciplinary project aimed at engineering programmable
-
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
-
economics in addiction and health behavior. Furthermore, this will be involved in developing pilot and/or career training research programs in the areas of addiction, decision-making, and other health
-
, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance
-
leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and
-
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