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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
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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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improvements in cancer control. We have an opportunity for a Research Fellow with expertise in breast cancer imaging and screening research to join the Breast Cancer Clinical & Population Health Research group
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[Music plays and an image appears of the Investigator ship on the ocean and text appears: Marine National Facility, Australia’s dedicated marine research capability] [Camera gradually zooms out
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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Contribute to high-impact scientific and clinical projects in a rapidly growing research field Located at the Image X Institute in South Eveleigh, Faculty of Medicine and Health Full- time, 2-year
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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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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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understanding of AWS security best practices, including IAM, VPC security, encryption, and compliance. Experience implementing and maintaining secure applications on AWS. Desirable skills: Experience with
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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