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multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
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strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will lead the analysis and interpretation of data arising from the network of trials that will provide
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/sequence, time of sowing and nitrogen management strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will contribute to the analysis and interpretation of data
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to developing research protocols, preparing manuscripts, and analysing data using statistical methods, turning results into meaningful insights. You’ll also have the chance to present findings through reports and
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experience in research support, literature review and data integration. In this role, you will provide key research support for a multi-site, longitudinal study evaluating a new two-tier system for drug
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participant-facing tasks in a research or clinical setting. Competence in handling sensitive data and maintaining confidentiality. Proficiency with Microsoft Office and willingness to learn project-specific
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Learning under the leadership of excellent researchers. About the role We are seeking two Research Assistants (Research Nurses) to take a leading role in participant recruitment, data collection, and follow
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recruitment, communication with participants and data collection at the Australian site under the direction of Professor Greg Murray and Dr Catherine Orr. This role will primarily involve data collection, which
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Criteria for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact
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management skills, the ability to multitask and meet deadlines in a high volume, changing environment Attention to detail and the ability to maintain the accuracy of information from a variety of sources Good