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Field
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related to digital humanities (DH), and a background in computer science (CS), artificial intelligence (AI), or other areas with a strong technical background. The ability to discuss and collaborate with
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Responsibilities: To independently undertake research in artificial intelligence and computer vision tools. To use these tools for interpret the acoustic sensing results. To produce research reports and/or
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unstructured data, including user behavior, graph data, and multimodal content such as text and images. Job Requirements: PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related
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computer vision or artificial intelligence is a plus. • Soft skills: will to learn, autonomy, palatability for project-oriented organization. Additional Information Work Location(s) Number of offers
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Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
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, imbalanced-data, or distribution-shift settings. Job Requirements: PhD in Computer Science, Data Science, or a closely related field. Strong research background in machine learning and artificial intelligence
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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-Powered Q&A Systems for Multimedia, 2024, p. 36-43. [6] A. F. Wise, S. Knight, et S. B. Shum, « Collaborative Learning Analytics », in International Handbook of Computer-Supported Collaborative Learning, U
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infertility, pregnancy, lactation and developmental programming, urogynecology, artificial intelligence and machine learning are particularly encouraged to apply. The Department of Obstetrics and Gynecology