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top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses on addressing social
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critical, innovating at the boundaries of their disciplines and creating exciting and engaging learning experiences for our students – the global citizens of tomorrow. Design is a rapidly growing and highly
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Accuracy in Algorithmic Machine Learning"). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed
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, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization. Familiarity with data science and machine learning. Familiarity with cellular and molecular biology, such as
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Machine Learning”). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and
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encouraged to apply, A PhD (or near completion) in a relevant field, Knowledge of computer vision technologies including approaches to visual 3D reconstruction, Knowledge of appearance-based scene
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) at the University of Sydney. The ACFR is one of Australia’s leading robotics research groups, and the Robotic Imaging Lab is focused on endowing machines with new ways of seeing the world. We are expanding our team
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focused) who possesses: PhD in interaction design, human-computer interaction or cognate field sound experience of teaching and learning, and the ability to contribute to teaching at undergraduate, honours
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collaborator with the aim to use machine learning/AI approaches in combination with commercial multispectral and hyperspectral remote sensing platforms to perform within-field mapping of weeds and disease in
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signals or other perceptual processing (Matlab, Python or other scientific programming). Experience in machine-learning approaches to data analytics, especially for time-series data. Desirable Experience