20 postdoc-machine-learning positions at Princeton University

Postdoctoral Research Associate

other lab and center researchers, postdocs, and graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed

Postdoctoral Research Associate - Interfacing machine learning with climate models

interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other

Improving Ocean Surface Boundary Layer Mixing Parameterizations using Machine Learning

coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a

Postdoctoral Research Associate - Interfacing machine learning with climate models

application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across

Ocean Surface Boundary Layer Mixing Parameterizations using Machine Learning

, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a

Administrative Coordinator

, distribute keys to incoming faculty, research scholars, postdocs, and graduate students. Maintain an organized key system. Serve as Building Access Coordinator. Assign building access over the summer to all

Professional Specialist

Specialist, to develop computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational

Postdoctoral Research Associate

interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other

Postdoctoral Research Associate

interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other

Associate Research Physicist - Computational Fusion Physics

work for a DOE Distinguished Scientist Award and other projects. This postdoc will contribute to PPPLâ™s mission by helping develop comprehensive computer simulations of turbulence in fusion devices