104 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field Prior experience in computer vision, with application of deep learning
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analytics, and machine learning, the Grid Interactive Controls group delves deeply into understanding intricate grid-edge operations. Researchers are dedicated to laying the groundwork for optimal X2G
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social