673 information-security "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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of the Australian Higher Education System,” which aims to analyse the Australian tertiary system using linked ABS and Department of Education data to inform policy on graduate earnings, peer effects, and field
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Identifying vulnerabilities in real-world applications is challenging. Currently, static analysis tools are concerned with false positives; runtime detection tools are free of false positives but
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Classical propositional logic (CPL) captures our basic understanding of the linguistic connectives “and”, “or” and “not”. It also provides a very good basis for digital circuits. But it does not
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feedback analytics! Project description: The ability to understand and act on feedback is one of the most powerful drivers of learning success. Despite decades of research affirming the value of feedback, it
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Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by strategically querying the most informative unlabeled samples. However, traditional AL
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requirements. The role contributes to the development of personalised interventions informed by both clinical expertise and lived experience. The position is responsible for supporting the coordination and
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people who discover them The Opportunity Due to sustained growth in student enrolments, the Department of Business Law and Taxation within Monash Business School is seeking three Associate Professors
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invigilators during assessment delivery activities, contributing to their training, performance, and ongoing development. It will coordinate day-to-day activities across eAssessment and eVigilation operations
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment