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projects, collect and analyse information for business intelligence purposes, and facilitate effective communication with stakeholders to support planning, decision-making and project completion. Contact
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or immersed in the vibrant energy of campus life. As a Clinical Administrative Assistant, you will: Consult with available sources to gather relevant information and seek the expertise and advice of other
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of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The research also considers practical constraints such as cost, process
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experience relevant to the position (referencing the selection criteria in the position description) and upload your CV. If you experience difficulties applying online or for further information on completing
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the selection criteria in the position description and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply
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, representing UQ in professional forums, and building strong stakeholder networks. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About
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and the external research community. Working as part of a specialist platform, you will support researchers through hands-on laboratory work, coordination of technical services, data handling and
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close: 10 Mar 2026 The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites