13 visual-intelligence Postdoctoral positions at Princeton University in United States
Sort by
Refine Your Search
-
, Cognitive Science or other closely related fields. Experience working with behaving non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess
-
the area of Human-Centered Artificial Intelligence Research and Design. The Keller Center, an interdisciplinary hub within the School of Engineering with focus on innovation, entrepreneurship, and technology
-
commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
-
defense date, and academic interests; *Current curriculum vitae, including publications; *2,000-word description of the proposed research project, including its specific objectives, importance, and research
-
Science, Bioengineering, Cognitive Science or other closely related fields. Experience working with behaving non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must
-
software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
-
successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's interests center
-
non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
-
] Subject Areas: Analytical Chemistry / Current Advances in Chemistry & Biochemistry Machine Learning / Machine Learning Computational Science and Engineering / Machine Learning Artificial Intelligence
-
starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine