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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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developments in audiovisual media distribution. Audio and video media distribution technologies have evolved significantly. The expansion of broadband networks has enabled the development of new video services
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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) on the project Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis and Electrochemistry for the Spectro-Microscopy group within the Department of Interface Science . The Department of Interface
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-resource language technology Technical Focus Areas Cross-modal Integration: Develop frameworks for relating speech embeddings (Whisper, wav2vec2) with video transformer embeddings Advanced Computer Vision
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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 YouTube. Accept cookie and refresh page to watch
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video processing Strong experience in machine learning or deep learning for medical image