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range of people at different levels within an organization. Experience working with a range of computer systems and applications, including Microsoft Office suite with a proven aptitude for learning new
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MML for well-behaved models, and has been successfully applied to diverse problems including hypothesis testing, clustering, and machine learning. Aim 1: Theoretical Investigation of MML Properties
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technologies, including machine learning and large language models experience with containerisation tools (e.g. Docker, Singularity) and research computing workflows proven capability in data science, software
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on
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Training, you will help advance researcher development across the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. Through on Country learning, mentoring, HDR internships and
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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is not about building another normal intrusion detection system. It is also not about simply applying machine learning to classify network traffic as normal or malicious. The project is not focused
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. They generally rely on expert rules or machine learning models to provide health advice. Recently, generative AI tools, such as ChatGPT, have become a popular focus of research. In healthcare, they show strong