108 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Oak Ridge National Laboratory
- Texas A&M University
- Bowdoin College
- National Renewable Energy Laboratory NREL
- Carnegie Mellon University
- Cornell University
- Georgia Southern University
- Northeastern University
- Rutgers University
- University of Nevada Las Vegas
- Nature Careers
- Stanford University
- Stony Brook University
- The University of Arizona
- Princeton University
- University of Cincinnati
- University of Texas at Dallas
- William and Mary
- Argonne
- Baylor University
- Brookhaven Lab
- Duke University
- Medical College of Wisconsin
- New York University
- University of Illinois - Chicago
- University of Kansas Medical Center
- University of Maine
- University of Nevada, Reno
- University of Texas at Arlington
- Yale University
- 21 more »
- « less
-
Field
-
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
-
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
-
. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by
-
- Salaried 12 Month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science
-
their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal, organization
-
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
-
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
-
through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal
-
: 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
-
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