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organisations, and ensure the research is conducted in culturally safe, ethical and relational ways. You will contribute to data collection, analysis, interpretation and dissemination, producing high-quality
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them The Opportunity Join the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare
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. These positions will contribute to key research activities including data collection through surveys and interviews, data management and analysis using REDCap, manuscript preparation, conference presentations and
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international scientific journals. Demonstrated success in generating research income and managing large research projects/teams. A commitment to team science, open, responsible research (FAIR data), and a
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recognised Adolescent Brain Cognitive Development (ABCD) study. As a Research Fellow (Level A or B), you will process and analyse large-scale neuroimaging data, contribute to high-quality publications and
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. Demonstrated success in generating research income and managing large research projects/teams. A commitment to team science, open, responsible research (FAIR data), and a collaborative mindset. About Monash
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opportunities to work with the project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore deposits
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providing guidance to research staff and students. A strong focus on clinical trial management, data integrity and the effective use of systems such as REDCap underpins the delivery of rigorous and compliant
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., hyperspectral) and climate reanalysis data, calibrated with in situ field data, laboratory analysis, and numerical models of landscape evolution. Apply today to spearhead groundbreaking landscape evolution
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reports and maintain strict standards of confidentiality and data privacy. Tech Know-how: High proficiency in standard software (Microsoft Office, data analysis tools) and a readiness to learn specialised