Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
. Desirable Criteria Experience implementing machine learning or deep learning models (e.g., neural networks, probabilistic learning methods). Knowledge of state estimation techniques, such as Kalman filters
-
Number req25611 Department Space 4 Center Department Website Link https://s4.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Space4 Center at the University of Arizona
-
will use the TOPAZ system, the neXtSIM sea ice model, the Ensemble Kalman Filter and remote sensing data. The TOPAZ system and the neXtSIM model are two forecasting systems developed at NERSC
-
, ensemble Kalman filters, and physics-informed neural networks (PINNs) enforce conservation laws while fitting observations. The key is to apply the vast amount of physical insights developed in turbulence
-
other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly