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, digital currencies, fraud detection with data science and machine learning, create prediction models using structured and unstructured data, and apply the techniques to solve the real-world problems in
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new privacy enhancing technologies, privacy sensitive machine learning to personalise automatic online safety responses and immersive simulation environments to explore how safety and can be compromised
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and track record for related R&D. High desire for technological exploration and achievement. Background knowledge in signal representation/processing, 3D visual data, and data-driven and machine
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of interest. Prior findings suggest that a skill-weighted ensemble mean from multiple reanalysis datasets outperforms a single best reanalysis dataset. Machine learning approaches will be explored, as well, and
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history, or LGBTQ+ history in the Americas. The postdoc will teach a lower-level and an upper-level course each year that engages with public history topics and methods (involving, for instance, monuments
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Research Fellow to engage in research on the area of data analytics, modelling, machine learning and process control to further their expertise and growing research profile in their discipline. The focus
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, laboratory, and field environments. The degree must have been received within 3 years from the date of application. Preferred Qualifications Familiarity with machine learning (ML) and artificial intelligence
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packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your
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research. Capacity to develop machine learning algorithms to increase analytical efficiency. Knowledge of environmental impacts (ecosystems and air quality) of wildland fires and responses to prescribed