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About the Opportunity The University of Queensland is seeking an experienced Chief Information Officer (CIO) to lead digital technology services for one of Australia’s most prominent teaching and
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funded under the National Clinical Quality Registry Program. The Coordinator plays a key role in supporting the recruitment and onboarding of new participating high-dependency SCNs, including coordinating
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sensing capabilities for the newly established Drones CRP. We’re seeking a motivated researcher or engineer at either Academic Level B or Academic Level C to drive innovation in drone-based geophysics
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make...
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student outcomes experience using innovative educational technology platforms to facilitate mathematics and statistics support to diverse cohorts of students theoretical and practical understanding
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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Australia's national science agency, CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like
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growth in undergraduate and postgraduate program enrolments. Additionally, we have introduced service teaching within the medical program, increasing enhancing our interdisciplinary impact. With
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, employability and real-world impact. In this position, you will: Lead the development and delivery of industry-engaged research training and HDR pathways Design and implement innovative, technology-enhanced
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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...