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systems as well as supporting the acquisition, processing and analysis of microscopy data to enable high-quality scientific outcomes. The Manager will collaborate closely with researchers, students, and
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agricultural research and innovation. Key Responsibilities: Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing. Develop and
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an exciting opportunity to contribute to cutting-edge research that integrates sensor data, image/video analysis, and real-time monitoring systems to enhance agricultural practices. About the Project
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isothermal flow conditions relevant to bubble reactors using optical diagnostic methods, followed by image processing, which may include machine learning-based techniques. To analyse bubble dynamics from
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cutting-edge imaging and data collection technologies for plant phenotyping, supporting research in controlled environments, field sites, and remote locations. The network consists of nine nodes
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cutting-edge imaging and data collection technologies for plant phenotyping, supporting research in controlled environments, field sites, and remote locations. The network consists of nine nodes
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supervision. We operate with a commitment to high standards of care and student learning, providing the latest technology, including advanced imaging equipment like CT, endoscopy, arthroscopy, and invasive
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contribution of 17% superannuation applies. Fixed term, full-time position for 3 years. Scaled physical models provide powerful tools for multiscale 4D analysis of complex geological processes from the formation
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will provide high quality data comprising images, text, and detailed locational information for 667 names/toponyms given to localities on the Australian coast by d’Entrecasteaux and Baudin. The expected
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critical care services for a dynamic and growing caseload of small animal patients. There is also access to all imaging modalities including CT and the support of a dedicated radiographer. The CAHC has