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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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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
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Code for the care and use of animals for scientific purposes (8th edition 2013 (updated 2021) (the Code)). The AEC is comprised of members across various categories as stipulated in the Code and includes
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, in various formats including images, texts and numeric values. The study of these unstructured data in the pathology laboratory information system (LIS), together with the information from
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displacement and the length of such deformations (or displacements). As later steps, we will then look at time series data (or movies of images) and also at out-of-plane 3-dimensional deformations. This will
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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, and data protection Apply engineering principles, including version control (e.g., Git), CI/CD pipelines, and infrastructure-as-code (IaC) to ensure robust and repeatable deployments across both
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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of research and teaching activities involving animals to ensure the use of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care