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This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where they seek care
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview The concept of individualisation of training to maximise the adaptive response is as important for team sport...
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compliance. Resolve data harmonization challenges across utility systems to ensure tool functionality. Validate outcomes through case studies in Brisbane and Exeter, targeting ≥20% overflow reduction. Deliver
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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: Forging the new Australian Dream in a Post-homeownership nation . To commence in 2025, this PhD will involve international comparative analysis of qualitative (including primary data collection) and
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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methodologies, including open-ended interview research quantitative analysis, survey design, statistical analysis. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor
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communication analysis to promote consumer engagement in respiratory-related media campaigns in community pharmacies and their impact. This includes the development of an implementation toolkit and its
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning