29 phd-in-computer-vision-and-machine-learning-"Multiple" Postdoctoral positions in United States
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) at Oak Ridge National Laboratory (ORNL). This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in
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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 scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, computer vision, or natural language processing) though exceptional candidates with other experience will be considered. Track record of publications in premier technical and/or biomedical venues. Previous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural
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setting Previous experience with clinical populations, neuroimaging or neuromodulation, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required
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well as computer programming is preferred. Strong proficiency in the English language (both written and verbal). Essential Duties and Responsibilities Duties & Responsibilities: Coordinating research activities
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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 | 1 day 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