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Field
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analysis, aimed at understanding how the human brain encodes information. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department
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between neuromorphic sensing and AI processing. The focus lies in architecting a unified system capable of real-time image intelligence, overcoming the critical hardware bottlenecks of limited memory and
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aptitude. A formal ecology or biology background is not required although it would be an advantage. Similarly, an interest in image processing and/or photography would be helpful but is not required. Most
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aptitude. A formal ecology or biology background is not required although it would be an advantage. Similarly, an interest in image processing and/or photography would be helpful but is not required. Most
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-specific digital twins for cardiovascular diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D
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and 3D images resulting from magnetic resonance, X?ray and electron images -integration of motion analysis and digital volume correlation -processing of images in preparation for image-based
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neural networks and physical models. Required skills: * Technical: - Image processing and computer vision skills: feature detection and matching, image registration and fusion, 3D reconstruction - Deep
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, that after validation, will be embedded into dedicated system for functional tests. Through collaboration with experts in image sensors, analog and digital circuit design, the student will develop
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diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
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machine learning methods for signal processing, image analysis, data fusion, and prediction; build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches