104 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Bowdoin College
- University of North Carolina at Chapel Hill
- Carnegie Mellon University
- Oak Ridge National Laboratory
- Texas A&M University
- New York University
- Northeastern University
- Rutgers University
- Georgia Southern University
- The University of Arizona
- University of Nevada Las Vegas
- Cornell University
- Medical College of Wisconsin
- Stanford University
- Stony Brook University
- University of Texas at Dallas
- National Renewable Energy Laboratory NREL
- Nature Careers
- Princeton University
- University of Maine
- William and Mary
- Argonne
- Baylor University
- Brookhaven Lab
- Duke 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, Reno
- University of St. Thomas
- University of Texas at Arlington
- Yale University
- 25 more »
- « less
-
Field
-
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
-
wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: PhD degree in a relevant science (behavioral and human sciences
-
statistics or machine learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking and hearing. No special vision requirements. Lifting up
-
: PhD in a scientific field Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable. Why MCW
-
- Salaried 12 Month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science
-
materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
-
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
-
previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
-
University is seeking a Postdoctoral Research Assistant to support internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon
-
software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g