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Field
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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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-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
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and communication across multiple modalities, such as text, pictures, audio, and video? Join the large scale HAICu project to help unlock the potential of cultural digital archives through multimodal
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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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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. The activity of the IMAGES team of the IDS department in LTCI covers many aspects of the processing, analysis and synthesis of digital images, volumes, and videos. A particularity of the team’s work is
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metallurgy which is the liquid copper infiltration (LCI) in copper-contaminated steels leading to cracking during steel processing. While LCI is a known issue in conventional steel recycling, it becomes
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Informal enquiries may be made to Prof. Giovanni Petri at [email protected] and are warmly encouraged. To be considered for the position, applications must be made in accordance with the process
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-ones in settling into Finland. Your ‘office’ would be in some of the most beautiful natural sites that the northern hemisphere has to offer! Please see these three informational videos that explain