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detailed linguistic research on how Blind and Low Vision people interact with digital navigational technologies and incorporate multimodal information into their navigational frame of reference. Drawing
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activity, sleep and health behaviour change Project Description: Digital behaviour change tools reach large populations cheaply, but most deliver generic advice and lose their users within weeks. Large
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the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
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surveillance with state-of-the-art systematic review methods, GRADE methodology and digital guideline platforms, living guidelines ensure that clinical recommendations remain current as new evidence emerges
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in institutions, digital humanities, intimate and personal relationships with AI, environmental impact, and broader questions related to ethics and governance. This creates an urgent need
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communities, examining how these digital subcultures shape attitudes, identities and behaviours in contemporary society. It will investigate how misogynistic narratives are constructed, shared and legitimised
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of the National Infrastructure for federated learNing in DigitAl health (NINA), a national initiative aimed at advancing privacy-preserving AI infrastructure and analytics for healthcare across
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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Expanding access to digital health The successful candidate will receive training in applied microeconometrics, health economics, environmental economics, discrete choice experiments, administrative data
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability