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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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Australian Imaging Service platforms. Work will include enabling Kubernetes deployments, developing GitOps solutions, the integration of different storage endpoints using the Container Storage Interfaces
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Qualifying Programs, and Diploma courses. Contribute to the effective operations of the Macquarie Learning Technologies Platform (iLearn) as required. Comply with relevant professional standards and codes
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contribute to the design and implementation of an out-of-lab quantum, magnetometer based on OLEDs. Field test and benchmark a prototype OLED quantum magnetometer. Align with and actively demonstrate the Code
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The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and
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/multiprocess applications Ability to work independently and solve technical problems in the field Experience with ML, point cloud/image processing, path planning (desirable) Experience in GUI development and/or
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research experience. The successful candidate will receive a generous multi-year start-up package, followed by long-term intramural funding. IMB features several core facilities (imaging, genomics, RNAi
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improvement of matters in area of responsibility. Perform any other duties as required and appropriate for this classification. Comply with relevant professional standards, codes of ethics and EEO and WHS
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores