22 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Virginia Tech
Sort by
Refine Your Search
-
with a minimum of one year eligibility remaining. •Strong expertise in first-principles modeling or molecular simulations relevant to catalysis, and experience with machine learning models. •Deep
-
systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
-
aegypti genome, including their distribution across the global tropics and their role in the mosquitoes' adaptation to different climatic variables. The candidate will also study the molecular basis
-
. The position involves research in modeling and simulation of within-host virus dynamics, theoretical immunology and multiscale immune-epidemiological models of infectious diseases and teaching two classes per
-
interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
-
initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
-
microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
-
, molecular biology, genetics, and other relevant areas of biomedical sciences. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
-
candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
-
, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications • Skills in modeling and simulation, preferably using scientific machine learning (SciML) or related