360 algorithm-development-"Multiple"-"Prof" positions at The University of Queensland
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position involves contributing to the development of civil and environmental engineering programs and course materials, ensuring they are engaging and up-to-date. It includes teaching across various settings
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, tracking project progress, and delivering timely reports to stakeholders and supervisors. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degree by
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leadership in business resilience, guiding the development and implementation of integrated risk management strategies that enhance the University’s ability to withstand and recover from internal and external
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for large ERP systems at the University of Queensland, giving consideration to the wider enterprise applications portfolio. Key responsibilities will include: Development of business cases – Prepare detailed
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, and meet deadlines Desirable Experience in the higher education sector, DevOps practices and associated tools, experience with development and operations in enterprise-scale technology environments, and
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deeply rewarding career, access to professional development, and the chance to be part of one of Australia's leading universities making a real difference on the ground. For further information, please
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crystals and explore the existence of a hexatic phase in long-range interacting systems. The successful candidate will maintain and enhance the BEC apparatus, develop and conduct experiments, and contribute
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Coordinator position has the responsibility for developing outreach activities and strategies for The University of Queensland’s (UQ) Women in Engineering program, which is now in its 12th year. This role
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reporting to promote SSWS activities aligned with UQ's strategy, and direct the development of effective student support materials and self-service options. Please note leave restrictions may be in place
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responsibilities will include: Develop, maintain, and optimise ETL processes and databases particularly from EMR systems. Provide expert technical support and advice to researchers throughout the data lifecycle