Sort by
Refine Your Search
-
: 270801838 Position: Postdoctoral Research Associate, Data-Driven Social Science Description: Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
-
Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral Research Associates. DDSS supports technical and methodological innovation in
-
approaches; *Endogenizing policy processes and choices by combining stylized and technology-rich models; *Assessing multi-scale energy transitions by coupling global integrated assessment models (IAMs) with
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
-
: 274769900 Position: Postdoctoral Research Associate Description: We are seeking an ambitious and driven Postdoctoral Research Associate to conduct cutting-edge research at the intersection of immunology and
-
: 274438209 Position: Postdoctoral Research Associate Description: The Ferris Research Group in the Mechanical and Aerospace Engineering Department at Princeton University invites applications for a
-
The Koel laboratory in the Department of Chemical Engineering at Princeton University is seeking a postdoctoral or more senior researcher position to advance the understanding of liquid metal plasma
-
access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
-
interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials