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supported by the Enterprise Ireland Commercialisation Fund Programme through project CF20242528. The project, ‘DeCaMaP’ focuses on providing a comprehensive digital Common Operational Picture to support
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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digital Common Operational Picture to support Responders in managing Emergency Events such as Wildfires. DecaMap is a R&D project focused on developing next generation Earth Observation and AI technologies
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project CF20242528. The project, ‘DeCaMaP’ focuses on providing a comprehensive digital Common Operational Picture to support Responders in managing Emergency Events such as Wildfires. DecaMap is a R&D
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pursuing post-primary certification. Duties and Responsibilities of this Level Perform specialized tasks associated with the operation of imaging equipment and related devices in accordance with prescribed
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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high
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ordenador a imagen hiperespectral/multimodal/3D y evaluación con métricas específicas. / - Usage of computer vision and hyperspectral, 3D and multimodal imaging techniques and evaluation with specific
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de imágenes multimodales HSI/RGB/depth en dispositivos de procesamiento en el edge. / - Specify and design HSI/RGB/depth multimodal imaging systems on edge-based processing devices. - Exploración
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Public Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and