94 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Texas A&M University
- University of North Carolina at Chapel Hill
- Bowdoin College
- Georgia Southern University
- Oak Ridge National Laboratory
- Carnegie Mellon University
- Rutgers University
- New York University
- Northeastern University
- Cornell University
- Medical College of Wisconsin
- Stony Brook University
- Nature Careers
- Stanford University
- The University of Arizona
- University of Maine
- University of Texas at Dallas
- Argonne
- Baylor University
- Brookhaven Lab
- Emory University
- Fred Hutchinson Cancer Center
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- Princeton University
- The Ohio State University
- University of Central Florida
- University of Cincinnati
- University of Colorado
- University of Florida
- University of Kansas Medical Center
- University of Nevada Las Vegas
- University of St. Thomas
- University of Texas at Arlington
- University of Texas at Austin
- Yale University
- 26 more »
- « less
-
Field
-
to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
-
to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
-
understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
-
work will focus on problems in controls, machine learning, image reconstruction, wavefront sensing, and instrument development and test. As time permits, you will be encouraged to conduct your own
-
, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
-
understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
-
Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
-
. The NOAHS Lab is led by Prof. Alan Wang (alan_wang@baylor.edu), who is the Mearse Endowed Chair Professor at the Department of Electrical and Computer Engineering. During his research career, Prof. Wang has
-
, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
-
profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk. This position will involve applying machine learning, deep