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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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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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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and
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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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on testing the sensitivity of an Australian collection of E. necator isolates to a combination of both new and older DMI fungicides. This analysis will allow for the establishment of different sensitivity
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required
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addition, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is
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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
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four years. Scholarship Details Maximum number awarded 2 Eligible courses Any HDR students wishing to study in the engineering/mathematics field. Eligibility criteria Local and international students