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, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
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of the following: 3D Printing, Computer-Aided Design, Organic Modeling, Device Development, Software Development, Immersive Technologies (VR, AR), Device Manufacturing. An advanced degree may
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to analytical applications of design standards) is highly valued, as is a proactive commitment to mastering these tools. An interest in computer vision, visual computing, 3D visualization, or related domains
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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Technology, underpinned by academic and partner expertise across both core EPSRC research disciplines – Computer Vision, Graphics, Human Computer Interaction (HCI) and AI – as well expertise in healthcare
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The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research