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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
, reasoning and problem solving skills. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy including the ability to use a variety of software
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
the group of Dr. Tengfei Li at the University of North Carolina at Chapel Hill. The successful candidate will develop and apply advanced statistical and machine learning methods for infant cognitive
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method development and DNA library preparation for Oxford Nanopore sequencing. Large experience in bioinformatics, machine learning and high-performance computing. Furthermore, excellent written and oral
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the areas of Machine Learning (ML) and Artificial Intelligence (AI). Focus will be placed on applications of these technologies in cybersecurity and anomaly detection in encrypted network data. The successful