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responsibilities include serving as a process owner and subject matter expert in design sessions, conducting master data audits and remediation, supporting user acceptance testing (including parallel payroll testing
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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level of proficiency in computer software packages, including word processing, spreadsheets and databases. Demonstrated ability to solve common problems or to employ alternate methods or approaches within
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and testing. New finance system and business process design and testing. Provide training to our stakeholders on existing system Journals, accruals, and general ledger reconciliations. Prepare and
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of administrative processes that support both the University's admissions and coursework scholarships, including Government scholarship and bursary programmes. The Admissions team manages the entire admissions
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of administrative processes that support both the University's admissions and coursework scholarships, including Government scholarship and bursary programmes. The Admissions team manages the entire admissions
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and engineering classes over a 10-week period. La Trobe University, The University of Melbourne, RMIT University, and Deakin University support the operation the program. This position is the central
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outcomes. The Research Development, Grants and Transformation Team is central to this mission, providing expert guidance on research development and managing the pre-award process for competitive funding
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with a new cutting-edge quantitative-trading company to push the frontiers of AI-aided decision-making in quantitative trading processes. As a PhD candidate you will: Design next-generation trading
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admissions process. This role will work closely with peers and across teams to ensure a consistent approach to service delivery, provision of accurate functional support in line with policies and procedures