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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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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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research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global
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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