Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Humanities
- Engineering
- Arts and Literature
- Business
- Mathematics
- Linguistics
- Medical Sciences
- Biology
- Science
- Materials Science
- Social Sciences
- Chemistry
- Environment
- Electrical Engineering
- Psychology
- Law
- Philosophy
- Education
- Sports and Recreation
- Earth Sciences
- Physics
- 13 more »
- « less
-
: 267605661 ODOC Learning Fellow and STEM+ Specialist US-NJ-Princeton Job ID: 2025-20605 Type: Full-Time # of Openings: 1 Category: Administrative Support Overview Working under the supervision of the Assistant
-
Details Posted: 17-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 265656080 Position: AI/machine learning for performance-enhancing
-
Details Posted: 12-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 265203475 ODOC Learning Fellow and STEM+ Specialist US-NJ-Princeton
-
Working under the supervision of the Assistant Director of the Undergraduate Program, the ODOC Learning Fellow and STEM+ Specialist (LF) delivers services in the domain of STEM learning support by
-
Details Posted: 14-Feb-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 262071865 Position: AI/machine learning for performance-enhancing
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory
-
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
-
for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on
-
of artificial intelligence on society, as well as broader questions surrounding the application of statistics and machine learning in social science. The position requires no teaching, though some mild
-
on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will