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vibrant faculty which advances disciplinary, multi- and inter-disciplinary research that operates at a multitude of scales: from the individual, to communities, societies, regions, nations and international
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computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
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recognition Individual and group behaviour understanding Long-term behaviour prediction Multi-task learning and foundation models Zero-shot and open-set recognition Privacy-preserving AI using anonymised human
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investigate the scientific, technical and institutional innovations required to enable large-scale impact. Successful candidates will join the Transforming Cities Hub at Monash University and work within an
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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candidature. ● Gain hands-on experience using world-class research facilities and pilot-scale equipment. ● Build transferable skills in project management, communication, collaboration, and stakeholder
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but
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sexism, violence-supportive attitudes and coordinated harassment at scale? How can benchmark datasets be constructed to support robust and explainable AI models for online safety research? How do
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datasets with different configurations (e.g., number of channels, sampling frequency and resolution). To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance
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, laboratory, coding or prototype-development experience. Academic transcripts, including GPA/WAM and an explanation of the grading scale. Evidence of English-language proficiency, where applicable. Contact