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PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics Job No.: 696616 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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relevant health or biomedical discipline · An interest in evidence-based medicine, rheumatology, epidemiology or clinical research · Strong analytical and communication skills · A
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at Monash University. The successful candidate will join our world-leading team in Temporal Analytics Lab, a world leading research group uniquely combining research in time series forecasting, classification
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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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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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or scraping of publicly available data), are strongly encouraged. Analytical frameworks may draw on discourse analysis, thematic analysis and critical approaches to power and ideology. A central aim of the