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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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information for at least three professional references. References will be contacted only at a later stage of the process. Occupational Summary The Marine Geospatial Ecology Lab (MGEL) at Duke University seeks
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consultation in the implementation of neuroscientific studies and the scientific processing and analysis of research data, as well as providing technical and methodological support to users and research groups
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using methods such as surveys, interviews, focus groups, roadway observations, driving simulators, eye tracking, video, GPS or vehicle telematics, mobile devices, wearable or physiological sensors, and
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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University of California, San Francisco Colitis Center | San Francisco, California | United States | 26 days ago
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as well as to allow video
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our electronic medical record as it changes and grows Manage our in-house video recording system (VALT) Manage our remote video recording system (Google Meet) Update all clinic materials as needed
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn