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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
interest and passion for cyber security, emerging technologies, threat landscapes and continuous learning. Demonstrated understanding of networking concepts and protocols, including TCP/IP, DNS, routing
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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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their teaching impact through leadership in embedding a technical background of generative AI and machine learning into Science and Mathematics programs at UQ. As teaching-focused Lecturers, the appointees will
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. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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and implement MDS, the headspace data collection and registration tool computer literate, with familiarity with the Microsoft Windows environment and Microsoft Office applications and capacity to learn
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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Workflow Language). Experience using data processing environments and platforms (e.g. NCI, ARDC Nectar Research Cloud, JupyterLab, Neurodesk) and with machine learning (Torch/PyTorch). Clear communication
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-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute