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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The...
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operations. The role also engages sensitively with the body donor program and ensures all work is conducted to the highest standards of safety, professionalism and respect. Your key responsibilities will be
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, Talent Acquisition via talent@uq.edu.au . Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure
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continuing to build research contribution, expertise, connections, and impact. Your key responsibilities will be to: work closely with other School members in dynamical systems, computational mathematics
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crucial stage of the research process. In brief, evaluating a visualisation technique requires engaging human participants in using the technique, observing how they use it, and determining whether it is
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the Bachelor of Arts (Politics Major) undertake units within the university’s exciting new Bachelor of Politics, Philosophy and Economics (BPPE) program, which is taught across three disciplines and two Schools
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an eligible degree in semester 2, 2025 at Curtin University Not in receipt of any other industry scholarships or scholarship that are from the same funding source and/or for the same purpose Application process
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program (including minor refurbishments) to ensure that priorities are met in accordance with agreed building management programs, performance objectives and budgets. ensure the delivery of the planning
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the Faculty. The role oversees the student lifecycle from admission to graduation, including student enquiries via Salesforce, the learning management system, the clinical program, and assessment processes
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in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low