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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A) and $114,824.05 – $136,048.72 + 17% Superannuation (Academic Level B) Based at our St...
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proficiency using Microsoft Outlook, Word, and Excel. Heavy rigid license and blue card desirable but not essential. Availability to work on weekends. Ideally, you will also bring: (1) certificate of competency
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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, and active learning pedagogies. You will be instrumental in achieving our "Lead through Learning" strategy, directly addressing the rapid rise of Artificial Intelligence (AI) in education. This means
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one or more of the following areas: artificial intelligence (AI) assisted digital media production; digital platforms; digital media analytics; data governance and data sovereignty (especially
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. Using bioinformatics, data science, or behavioural science – including artificial intelligence, you will drive innovative solutions to data challenges, support impactful research and help translate
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engineer the quantum future and further your expertise and growing research profile to achieve recognition in quantum technology and energy-efficient artificial intelligence. At this level, you will be
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)/Artificial Intelligence (AI) to the dynamic infectious diseases epidemiology team at the UQ Centre for Clinical Research. As part of the Health Research Accelerator (HERA), you will engage in cutting-edge
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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human