-
, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
-
optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman
-
and laboratory-based methods to investigate the long-term frequency and magnitude of historic and prehistoric earthquakes and tsunamis at the Cascadia, Alaska, and Chile subduction zones. The data
-
. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience
-
, genomic datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding
-
critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
-
leveraging advanced computational methods to address critical questions in pandemic prediction and prevention. Key Responsibilities: - Develop and apply modern machine learning algorithms and computational
-
and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications