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or airborne plant monitoring along with their underlying physical principles. Substantial expertise in image processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data
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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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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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National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and data collection technologies for plant phenotyping, supporting research in controlled environments
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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of
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research infrastructure initiative established through the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and data collection technologies
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research infrastructure initiative established through the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and data collection technologies
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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