Sort by
Refine Your Search
-
Employer
-
Field
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
plasmas, (2) compressible and incompressible magnetohydrodynamic (MHD) turbulence in Cartesian and spherical geometries, and (3) wave-particle interactions and parametric instabilities. Simulation
-
for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
-
are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
-
collocation schemes for simulation of 3-D compressible viscous flows on unstructured grids. Our department has a history of producing exceptionally successful, independent, and productive postdocs and PhD
-
, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics research. The position is NSF-funded, and the scholar will work
-
, and lab inventories related to cellular and molecular biology techniques that will include common use items (e.g., compressed gas, dry ice and liquid nitrogen). Guide the work of others and/or provides
-
sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
-
sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
-
expectations. Preferred Qualifications Previous experience with turbulence over rough walls, porous media, or complex geometries, as evidenced by work history. Knowledge of compressible flow regimes, including
-
of compressible flow regimes, including supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as