664 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Monash University
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The Koto Dream Scholarship Achieving Potential International Scholarship The Koto Dream Scholarship is designed to support outstanding Know One, Teaching One (KOTO) alumni who demonstrate strong
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them The Opportunity The School of Biological Sciences is looking for a Research Fellow to join a dynamic ARC‑funded Discovery Project exploring how plants adapt to extreme environments. This is an
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We are interested in understanding genetic variation among individuals and how it relates to disease. To do this, we study genomic markers or variants called single nucleotide polymorphisms, or SNPs
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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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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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This research project is part of a DECRA fellowship funded by the Australian Research Council for a project titled, Everyday Insurtech: Impacts of Emerging Technology for Insurance. The fellowship
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The Australian Research Council (ARC) Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) is seeking applications for ten ARC fully-funded PhD projects
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criteria: meet Monash's competitive scholarship selection process requirements, and meet Monash's English language proficiency requirements . This scholarship is also available to students undertaking Joint
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental