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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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tag and system architecture, including: power harvesting and management; data collection approach; LTE antenna integration in an extremely small footprint; message format and data compression
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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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printing experience in MRI image reconstruction (nonuniform FFT, compressive sensing, etc.) a good publication track record experience in supervising students. Your benefits You will have access
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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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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will be part of a research team working on the development of a prototype of liquid piston for isothermal compression/expansion. Villanova is a Catholic university sponsored by the Augustinian Order. The
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effective in leading discussions about project status and current results in audio and video calls and in-person meetings, and communicating the same in formal and informal written reports. The ideal
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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