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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
selective, competitive higher education setting, including knowledge of college student development theory, as well as frameworks and best practices related to veteran and military connected students. Proven
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software
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considerations. Strong knowledge of Python and experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch). Industry experience in supporting/leading/training software development and AI
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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scholarly activity that enhances teaching and learning; serving as a member of the Luddy School in Indianapolis, departmental and programs committees; maintaining current knowledge and skillset in
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, and reinforcement learning) and end-user piloting of software systems - including technical attributes and legal/commercial considerations. Strong knowledge of Python and experience with machine
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/ Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer