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early-career researcher eager to build a strong foundation in high-impact scientific inquiry and data-driven discovery. The successful candidate will be integrated into an established research group
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data extraction and literature evaluation, with no laboratory work involved. You will help shape how animal model data is assessed and presented to ensure it is both transparent and useful to the wider
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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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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leading medic-legal and engineering researchers on real-world crash data Join Australia’s only academic department embedded in a forensic medicine institute The Opportunity Are you a proactive early-career
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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
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Professor Gamble in key research initiatives. Responsibilities include ethics applications, conducting literature reviews, recruiting participants, preparing grant submissions, performing data analysis, and
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, to conducting interviews and focus groups with victim-survivors and service providers, and supporting the analysis of qualitative and quantitative data. You’ll also help produce reports and knowledge-sharing
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an opportunity to work with the Bureau of Meteorology, applying advanced analysis and programming skills to operational weather data for forecasting at various time scales. Key responsibilities include independent
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of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research