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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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their customers' data and providing legal mechanisms for customers to access and control such data, the same cannot be said for data collected in research studies. Numerous problems abound, including low levels
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for up to three training scholarships in health economics within the PACE program. The successful candidates will undertake a tailored training program in theory and methods relevant to WP-1 or WP-2
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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the local and global Japanese teaching communities. This includes seeking out opportunities to collaborate with peers and staying informed on innovative teaching methods in language education. In
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: finding planets, stars, and black holes through astrometric motion" "The fundamental physics that governs starlight" "First science with the Sloan Digital Sky Survey" "Data-driven methods for stellar
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- and the people who discover them The Opportunity Monash University is seeking a Research Fellow to join the OPTIMAL Centre of Research Excellence, a five-year NHMRC funded program led by the Transfusion
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annum for outstanding students). Additional financial support is available through research and teaching assistance work. The Opportunity Within the Integrated PhD Program, a PhD opportunity is available
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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). The reason for this is that the candidate will need to be trained in theories about humans and experimental methods. Meet H1E requirements for Monash FIT PhD entry.