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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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implementation research focused on co-design and translating evidence into real-world health settings. The position contributes to the development and delivery of implementation trials and works both independently
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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Theme 1: Climate Processes and Change. This position is funded by the National Collaborative Research Infrastructure Strategy through the Australian Community Climate and Earth System Simulator National
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building a digital platform that consolidates and presents this information. Centred on data extraction and expert review, the position involves assessing the accuracy and appropriateness of scientific
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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-funded postdoctoral position, delivered in close partnership with Fonterra. This role offers an exciting opportunity to investigate the biological behaviour of lipid-based nutritional delivery systems
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challenges. We are seeking a highly motivated Research Fellow to join our team and conduct collaborative research on weather processes related to precipitation and water resources. This position offers