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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video
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parties. Contribution to any project-level digital humanities tasks like dissemination of OA deliverables via HAL-SHS, creation of short videos, writing and publishing of shopr academic blog posts
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 17 hours ago
. Other Information Want to learn more directly from people that work at the Bond Life Sciences Center? Check out our latest video highlighting the important work and experiences of our team: https
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for the fellowship requirements published by FAPESP (https://fapesp.br/en/postdoc ). Desirable requirements: Familiarity with audiovisual devices; proficiency with audiovisual technology and video editing; interest in
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the following 24 months.The interviews may be held via video conferencing. Employees or former employees of Elettra Sincrotrone Trieste S.C.p.A., as well as current or former personnel provided by temporary work
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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
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minority non-European language is in possession of extensive transcribed/translated video-recorded data from conversation in a minority non-European language, gathered in primary fieldwork in home/village
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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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
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process, video interviews will be arranged. Please note: #EUfunded This is an EU funded project, named AEROSQIN (Surface Layer Diagnostics from Quantitative Flow Visualization), with project number