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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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-attention architectures for real-time embedded vision systems, focusing on the integration with Large Language Models (LLMs) for multimodal applications in autonomous vehicles. Collaboration on projects in
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Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21973320/low-vision-postdoctoral-fellowship-for-wilmer-eye-institute Return to Search Results
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Intelligence, the project “Harnessing Vision Science to Overcome the Critical Limitations of Artificial Neural Networks (VIS4NN),” co-directed by Marcelo Bertalmío of the Spanish National Research Council (CSIC
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Offer Description Department of Clinical Sciences Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for
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Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for research focusing on animal welfare and
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The primary responsibility of this position is to assist research activities in controlled environment agriculture (CEA) by applying artificial intelligence, computer vision, and automation to crop sensing and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
learning in humanoid robotics for industrial applications. In this project, our goal is to recruit one to two engineers to contribute to: the development of deep learning-based vision tools adapted