Sort by
Refine Your Search
-
in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
-
to investigate ocean-estuarine dynamics in the Gulf Coast. Integrate empirical data (physical and chemical observations and ecological data covering from microbes to fishes) to parameterize and validate models
-
process. Purpose The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting
-
includes a suite of initiatives that include the development of digital twins for physical systems at many institutions, development of high-fidelity, multiphysics software that models advanced reactors
-
application process. Then, any additional Required Materials will be uploaded in the My Experience section; you can multi-select the additional files or click the Upload button for each file. Before submitting
-
) surface water modeling environments (e.g., Texas water availability models, HEC-RAS, etc.), (h) rainfall runoff process modeling, and (i) drought metrics. Familiarity with Texas surface water resources and
-
in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
-
has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs