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the delivery of school outcomes with the required resources. Support school functions through a range of processing and administrative tasks in line with university procedures as well as ensuring efficient and
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continuous improvement within the procurement team and across the broader University, leveraging best practices, process enhancements, and stakeholder engagement to deliver long-term value. To be successful
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effective and efficient RP training, assessment, authorisation and currency management processes to ensure pilots remain competent, appropriately licensed and compliant with CASA and University requirements
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or immersed in the vibrant energy of campus life. About the team: Digital Infrastructure Services and Facilities ensure the smooth operation of the University’s physical and digital environments. Digital
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voice, editorial guidelines, storytelling techniques, search engine optimisation (SEO) and/or artificial intelligence Coordinate the content drafting, review and approval process for domestic and
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to identify key issues, draw insights, and communicate clear, actionable recommendations Drive innovation and continuous improvement by challenging processes, leveraging diverse perspectives, and implementing
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to ensure needs are met to agreed processes, procedures, standards and timelines. Apply and utilise range of adopted workflow processes, policies and systems to deliver project outcomes and support associated
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-affected contexts A sense of humour, adaptability, and creative approaches to problem solving, including a keenness to leverage AI-enabled tools to maximise innovative approaches to streamline processes
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comprehensive understanding of organisational operations and processes. Here's how to apply: Please submit your updated resume and a short cover letter outlining your skills and experience. For a confidential
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records, and supporting project timelines Lead and manage ethics processes, including preparation of applications, amendments, and ensuring compliance with institutional and ARC requirements Coordinate data