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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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The position is co-funded by the National Imaging Facility (NIF), the Australian Research Council (ARC) Centre of Excellence in Plants for Space (P4S) and the University of Melbourne. We are seeking a Fellow
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of innovative plant imaging research capability Collaborate with global experts and international space agencies, and shape the future of space agriculture and Earth sustainability Invest in you - benefits
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project (Realtime Three-Dimensional Near-Field Microwave Imaging System). This project aims to develop a three-dimensional microwave system that can image and monitor the internal structure of objects in
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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advancing agricultural practices and sustainability. This will be achieved through cutting-edge multi-modal imaging (e.g., RGB, multispectral, hyperspectral, thermal) and 3D analytics (e.g., LiDAR
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biology with a major focus on live cell imaging. An emerging profile in super-resolution microscopy, and confocal microscopy of mitochondria dynamics in temporal resolution. Demonstrate capabilities in
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The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured
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Are you interested in applying your AI/DL knowledge to the medical domain? This project focuses on the use of AI in Medical Imaging (e.g. CT, MRI, X-Ray, Ultrasound, etc). The work includes
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law