Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- Texas A&M University System
- Texas A&M University
- University of North Carolina at Chapel Hill
- Duke University
- ETH Zurich
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Pennsylvania State University
- Stanford University
- The Ohio State University
- University of Copenhagen
- University of Texas at Arlington
- AALTO UNIVERSITY
- Aalborg University
- Aalto University
- Cedars Sinai Medical Center
- Forschungszentrum Jülich
- George Washington University
- Max Planck ETH Center for Learning Systems
- NYU Langone Health, Skok Lab
- National Renewable Energy Laboratory NREL
- OSU
- Oak Ridge National Laboratory
- Rutgers University
- Texas A&m Engineering
- The University of Arizona
- The University of British Columbia
- University of Colorado
- University of Luxembourg
- University of Miami
- University of Nevada Las Vegas
- University of Texas at Austin
- Yale University
- higheredjobs
- 27 more »
- « less
-
Field
-
interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
-
hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer
-
focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include
-
cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore the application of computer vision and remote sensing
-
hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer
-
hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer
-
development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
-
subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
-
design and optimization for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of
-
Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and