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collaboration with hospitals or medical researchers. Understanding of radiology/pathology imaging interpretation. Other Advantages Publications or strong project portfolio in computer vision/medical AI
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demonstration of centrifuge technology. The successful candidate will participate in research and development (R&D) activities that strategically advance science and technology focused on gas testing of prototype
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preferred Familiarity with behavioral neuroscience assays, especially pain-related behavioral testing preferred Prior experience with immunohistochemical, molecular, or imaging-based analyses preferred
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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 machine
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symptoms during reproductive timepoints. We use advanced multi-modal MRI imaging and detailed measures of cognition and clinical symptomatology. The position will draw on a wide range of skills and provide
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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 machine
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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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years of experience with augmented reality development using Unity (Apple Vision Pro, Meta Quest 3). Experience with computer modeling tools (Blender, CAD tools). Experience with medical imaging
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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