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for Extension and Engagement. To learn more about our division and its core units and initiatives, visit https://engagement.oregonstate.edu/. Oregon State University strives to ensure that all educational
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) Natural Language Processing including LLMs, deep learning methods with text-only or multimodal data; and 2) Applied Machine Learning / Data Science with specific interests in applications to health
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) Assistance with recruitment by explaining the study and reviewing the informed consent document 2) Data entry (If interested, the student would be able to learn about overnight sleep tests and would have O&G
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decision support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer
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. Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence; explainable AI; cognitive/brain-inspired computing; human-centric AI
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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include learning to learn and meta-learning, active learning, semi-supervised learning, multi-task learning, transfer learning, and learning representations for NLP. Techniques include deep generative
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learning’ approaches (such as Deep CNN’s) and ‘unsupervised learning’ approaches (such as reinforcement based learning and generative adversarial networks). Some of the main problems with Second Wave AI
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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based on electronic medical records. It is also attractive for novel applications, e.g. multimodal applications in meta-verse, which have little data for training and evaluation. This project focuses