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environment that upholds the highest clinical and ethical standards. Working in close collaboration with researchers, educators and clinicians, this position supports the end-to-end coordination of clinical
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project in which their data was used. This project will establish the requirements for, and develop, a new class of participatory research data governance architecture that will address the research-centric
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. The Jaffré Group, based in a world-class research environment, is dedicated to understanding the molecular and cellular mechanisms of heart disease in children with rare genetic syndromes. We utilize
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, software architectures, Machine Learning
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The Opportunity Are you a strategic leader with a passion for creating safer, healthier, and more supportive environments? Join the Faculty of Engineering as our Health, Safety & Wellbeing (HSW) Faculty Lead and
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that unveil the unseen. analyse complex data to uncover insights and pioneer new strategies for molecular sensing and imaging. We’re looking for someone who brings: A PhD in chemical biology, organic chemistry
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need
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refereed journals and textbooks or equivalent teaching resources Demonstrated strong record of teaching experience in a tertiary environment Demonstrated ability in undertaking outstanding research and
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guide colleagues, you foster a collaborative environment that advances both professional and academic standards. While your primary expertise lies in industry practice, you are committed to bridging