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research at the frontiers of computer science knowledge. Our research seeks to support a range of users, including people with diverse abilities, cultures and backgrounds, in interacting safely, effectively
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towards postgraduate qualifications in the data and analytics discipline and extensive relevant experience. In-depth knowledge and demonstrated experience in analytic methodologies and techniques
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with key technical and business stakeholders, and enterprise architects to drive correct integration architecture and principles. Demonstrated knowledge and understanding of complex data model, derive
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equivalent to the completion of postgraduate qualifications or progress towards postgraduate qualifications in the data and analytics discipline and extensive relevant experience. In-depth knowledge and
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and workflow priorities, and working across a diverse number of initiatives within tight and competing timelines. Demonstrated knowledge and experience in developing, maintaining and supporting
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a relevant field (microbiology, process engineering). Demonstrated experience and knowledge of anaerobic culture and/or the operation of anaerobic bioreactors. Demonstrated ability to work
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of knowledge in emerging technologies and solutions to solve business problems. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a
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enterprise architects to drive correct integration architecture and principles. Demonstrated knowledge and understanding of complex data model, derive functional and non-functional integration requirements and
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ability to work effectively and collaboratively in a team to foster positive team culture and good working relationships. Knowledge of, or ability to quickly acquire knowledge of, and ability to interpret
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experience equivalent to completion of a postgraduate qualification together with knowledge of enterprise architecture frameworks and business process re-engineering principles and processes. Demonstrated