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reports and maintain strict standards of confidentiality and data privacy. Tech Know-how: High proficiency in standard software (Microsoft Office, data analysis tools) and a readiness to learn specialised
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time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage formats the relationship of these issues to Quality Assurance programs in
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Bachelor of Engineering (Honours) Salman When I received my scholarship offer, my worries about having to pay upfront tuition fees eased. The journey ahead through university became achievable. I've been
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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professionals through high-quality teaching, clinical engagement and scholarly and research activity. Joining Monash University’s Department of Medical Imaging and Radiation Sciences, you will contribute
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each year (subject to suitable applicants) one in the Humanities and Social Sciences (HASS) disciplines one in the Science, Technology, Engineering and Mathematics (STEM) disciplines Selection criteria
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Skip to main content Main Menu - Primary Home Projects Supervisors Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In this project, we will develop
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the Faculty of Medicine, Nursing and Health Sciences, to access a Monash education Applications Not offered in 2026 Total scholarship value Up to $30,000 Number offered One at any time See details Madeline May
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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political movements (e.g. far-right nationalism, authoritarian anti-democratic groups, militarised theocratic regimes) to shape pathways to violence? The PhD project will collect and analyse qualitative data