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of operations of radio frequency equipment emerge in increasingly complex, congested and contested spectral environments. With recent advances in machine learning across multiple fields, the time is ripe for a
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-disciplinary nationwide research teams. There will also be an opportunity for the candidate to broaden their analytical skillset through professional development and this may include aspects of machine learning
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originating from the OT to IT and vice versa. This cyber resilience goal is consistent with the doctrine of maintaining freedom of action and manoeuvre in the cyber domain. To learn more about the program, you
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for Secure AI-Enabled Software, Applied Machine Learning, Natural Language Processing (NLP), DevSecOps, Secure of MLOps. Your knowledge of the indicated areas can be from technical or socio-technical
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Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University of Adelaide ranked in the top 1% of Universities worldwide. Notably, Adelaide is
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Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and robotic process automation
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. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and robotic
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: Develop polygenic scores and integrate them with other omics and clinical datasets to predict treatment outcomes in patients with psychiatric disorders. Apply statistical models, e.g. using machine learning
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis