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research outputs. A clear research vision aligned with one or more of CCMAR’s thematic areas. Strong communication, networking, and collaborative skills. Eligibility Applicants must comply with
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: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their