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and external stakeholders and experience managing complex queries in a fast-paced, large scale environment. Proven significant administrative experience in planning, organising and prioritising work in
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supporting data collection, analysis, and reporting to track progress, inform decision-making, and communicate impact. This position plays a critical role in advancing regionally grounded, community-informed
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skills and proven ability to engage effectively with diverse stakeholders to achieve successful outcomes. Vendor management/procurement experience desirable. Demonstrated experience in leading large-scale
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position contributes directly to the smooth running of a large and complex research team and will be actively involved in initiatives such as the Power Fuels including Hydrogen Network (PFHN) within the NSW
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week) The role reports to Scientia Senior Lecturer Dr. Felix Rizzuto and has no direct reports. About us UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and
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, healthier, and more supportive work environment for all. About You To be suitable for this role you will need to have extensive experience and demonstrated ability in a medium to large sized organisation, in
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, modelling, and reporting across multiple funding sources. You’ll work with large, complex data sets to provide insights and support informed decision-making that contributes to the success of these diverse
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customer service skills to support users of our Learning Technologies Join a close-knit team dedicated to the provision of high quality technical support Enjoy large organisation benefits in a regional
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical
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project officer experience, with an understanding of the project/program life cycle and the development and maintenance of plans and register. Proven experience in large scale transformation programs with