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, Wallumattagal Campus, North Ryde Turn complex research data into discovery and help advance global brain health. We have an exciting new opportunity for a data scientist to do work that truly matters and carries
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strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large
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experience. Knowledge and working experience in payroll accounting and payroll operations within a large and complex organisation, including account and data reconciliations, journal preparation, payroll tax
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across a large, multi-entity group operating on multiple finance platforms, all while maintaining controls and public accountability. Your key responsibilities will include: Managing, prioritising and
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Records Management, Information Governance function, or comparable function in a large, complex organisation, including guiding program delivery within a fixed timeframe. Experience with systems enablement
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, preservation, integrity and format migration of large digital object collections. Experience with data presentation, including visualisation, web design, content packaging tools and linked open data practices
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include: Flow cytometry assessment of immune cell responses to stimulation. Design and optimisation of flow cytometry panels and analysis and interpretation of resulting data. Integration of flow cytometry
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, records, and employee data are accurate, compliant, and maintained in line with organisational and legislative requirements. Monitor transaction progress, resolve data quality issues, and contribute
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to large groups Connect with senior university staff, industry guests and students from across the university Gain valuable experience that strengthens internship and graduate job applications Be considered
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large and complex organisations, including assessing current-state landscapes, defining target-state architectures and developing practical transition pathways. Proven experience in health data