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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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(AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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be studied rigorously. Applicants may have a background in natural language processing, computational linguistics, computer science, machine learning, artificial intelligence, data science, digital
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Collaborative Learning (CSCL), Computer-Supported Collaborate Work (CSCW), Human-Computer Interaction (HCI), Participatory Design, and Artificial Intelligence, the lab explores how AI can act as a local
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[Journal Cover]), artificial intelligence (PMID:35411337 [ Nature Machine Intelligence 2022]), genomics and multi-omics ( Nature Neuroscience 2026 [in press]; PMIDs:33558758 [ Nature Genetics 2021
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with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and Postdoctor at Imperial College London. She received
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in Health Strong research record using AI in a health-related discipline. Applicants with the following training will be considered PhD in computer science, machine learning, AI or related
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to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and