141 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning Postdoctoral positions at Princeton University
Sort by
Refine Your Search
-
: 277393135 Position: 2025 Postdoctoral Research Associate - AI/machine learning for analytical and forensic chemistry Description: The Skinnider Lab at Princeton University aims to recruit a postdoctoral
-
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
-
until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
-
: 277494258 Position: Postdoctoral Research Associate Description: The Princeton Materials Institute (PMI) invites applicants for postdoctoral or more senior research positions. Individuals with evidence of
-
: 277494260 Position: Postdoctoral Research Associate Description: The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of
-
: 277494262 Position: Postdoctoral Research Associate Description: Princeton University School of Engineering and Applied Science invites applications for postdoctoral and more senior research positions
-
of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
-
: 277344492 Position: Postdoctoral Research Associate Description: The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the Princeton Materials Institute at Princeton
-
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