Sort by
Refine Your Search
-
into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
-
positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
-
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
-
: 278716346 Position: Postdoctoral Research Associate Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL
-
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
-
countries leading national decarbonization modeling studies inspired by the NZA study. Currently, Princeton is collaborating on NZx studies at various stages of development in Brazil, China, India, and
-
or acquire further expertise in quantitative intravital microscopy. 2) Computational or Cell biologists (with expertise in quantitative microscopy, statistical modeling, cell culture, and/or biochemistry
-
), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children is particularly desirable. The Postdoctoral Research Associate will work
-
data analysis (e.g., RI-CLPM, growth-curve analysis), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children is particularly
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 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