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Field
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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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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https
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of the sea, with a focus on questions related to marine protected areas About the position You will primarily work on developing and applying video-based methods for monitoring fish in protected areas and
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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computer vision researchers. Analyze large multimodal datasets (simulator videos, eye-tracking videos, joint motion trajectories). Lead and co-author manuscripts and conference presentations. Opportunity
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 9 hours ago
inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment. Zürcherstrasse 111, CH-8903 Birmensdorf Website Company-Video Where to apply Website https
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, to ensure proper operation and maintenance of equipment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405649/research-fellow-eng… Requirements Additional Information
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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to determine the applicant's suitability for the position. Potential candidates will be invited for an interview via video conference or in person. The selection process will continue until suitable candidates
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, 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 unable to load from