102 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Macquarie University
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-established content governance framework and ways of working consolidating historical information architecture and associated content, as well as long-form content, into a leaner, more intuitive experience for
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decision-making across the University, translating complex financial data into clear, actionable insights that inform strategy at the highest levels. This is an opportunity to combine deep technical
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helps companies, governments, and not-for-profits transform the sectors they operate within, for public good. Our research focuses on areas including: Health and social care Sustainability Data and
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, integrating data, stakeholder collaboration, and evidence-based interventions to make a real difference in students' lives. Reporting to our Executive Director, Student Shared Services, you will be
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operational and administrative support in a busy environment. You will have excellent attention to detail and be able to communicate and present information clearly to a wide variety of people. You will be a
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globally for Data Science and AI, in 2025 QS World University Rankings by Subject). The School of Computing is currently the home of more than 60 academic staff and over 150 research students, and close
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seeking a Quality and Evaluation Officer to play a pivotal role in supporting the continuous improvement of education delivery across the University. In this role, you'll work at the intersection of data
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flexibility to submit content remotely via email/file share, so you'll need your own computer and internet access. We're looking for students who are: Currently enrolled in at least one unit at Macquarie
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information into actionable insights, and build the analytical capability that underpins sustainable growth and value-based patient care. You will also play a key role in the next stage of growth for Macquarie
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contribute to research and teaching within the discipline of Philosophy in the School of Humanities. The research duties include data collection, data analysis, agent based modelling of social epistemic