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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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-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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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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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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! Publications Social Media Videos Podcasts Online press review Media Personalia Events Life on Campus Back Events Culture, the arts and leisure time Merchandising Wellbeing Public Engagement Back Studium Generale
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settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
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watching the video: https://medicine.uiowa.edu/internalmedicine/about-us/why-iowa Successful candidates will be required to self-disclose any misconduct history or pending research misconduct investigation
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for CO2 emissions set forth, alternative, low-carbon emission approaches to existing manufacturing processes for base chemicals are required. This necessitates re-invention of processes that are in use