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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
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, DECRA and new ARC fellowship) This is an ARC funded postdoc position for developing upscaled single atom catalysts for water purification. To be successful you will need: Completion of PhD degree in
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successful you will need: Completion of PhD degree in the relevant discipline or have equivalent qualifications or research experience in Materials, Environmental and Chemical Engineering in recent five years
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contributions to sea level rise with improved accuracy. You will have a passion for Antarctica and quantitative skills that include programming and machine-learning or numerical ice sheet modelling. As the
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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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into brain function. Apply state-of-the-art software tools and methodologies for neuroimaging data pre-processing and analysis; with a motivation to learn new techniques and keep up-to-date with best practices
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation