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theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed term for 24 months. About you You will be working in a small highly motivated inter
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
video, and thoughtful discussion forums. For some existing courses at Sloan, the Fellow will create assessment systems; help to explore how AI can be leveraged in online education. Some of the content
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., video, audio, artifacts). Experience in using qualitative data analysis software. Experience in creating interactive design prototypes and data visualizations. Experience in machine learning or generative
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including reports, infographics, videos, and social media content. Mentor undergraduate, graduate, and junior trainees. Participate in lab meetings, writing groups, and professional development activities
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intelligence. The successful candidate will contribute to the implementation of human behavioural experiments using markerless video tracking and AI-based human pose estimation within an existing multi-camera
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-scale neural dynamics during cognitive tasks. The PDRA will develop cortically-embedded models of visual cognition that can interact with images and/or videos in a way that is species-specific. Extensions