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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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name Your story Image (photo or video) Feedback Apply Contact us Contact us, Whakapā mai Monday – Friday 8.30am to 4.30pm Email: contact@massey.ac.nz Phone (NZ): 0800 627739 Phone (International): +64 6
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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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well as collaboration in the development of digital tools for rapid assessment of milk quality and an application for identifying cheese defects through image analysis. Finally, the scholarship holder will contribute
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wide range of students in the physical sciences and engineering will be eligible for this scholarship. Preference will be given to those whose research aims to apply information/image processing
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image-guided surgery and functional modeling projects. Lead workflow development and integration plans for adopting research outputs. Maintain current knowledge of literature in engineering and head and
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well as medical imaging tools such as itk-SNAP, LinkEHR, 3D Slicer, and Fiji. - Experience working in multidisciplinary teams and European projects, with strong skills in coordinating multidisciplinary teams
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, Arduino, Image Salary Range $31,200 + depending on qualifications Working Conditions · May work in all weather conditions · May work in remote marine or estuarine field sites, under especially hot
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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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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural