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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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values excellence The Opportunity At the Australian Research Data Commons (ARDC), we are accelerating Australian research and innovation by driving excellence in the creation, analysis and retention
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appear as black boxes such that they lack explanations for why and how a particular prediction is made. To address these challenges, this Ph.D. project aims to combine causal analysis with deep learning
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, and the majority of projects include a field-based component that can span across Australia, offshore non-jurisdiction islands, and various international regions. This is a great opportunity to
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culture, flow cytometry, and comprehensive data analysis. In addition to experimental work, the role includes lab management duties—such as maintaining inventories, preparing reagents, writing protocols
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, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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from various operating room sources. We will focus on techniques that will make such data available through hands-free interaction such that data analysis can be performed even during operations. Will
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nodes and chemical bonds as edges. Analysis these networks are important as they may provide AI-based approaches for drug discovery. This project will focus on representing and inferring chemical or
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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship