572 systems-science "https:" "https:" "https:" "https:" "Univ" uni jobs at Monash University
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. This project is ideal for candidates with a strong background in cybersecurity, blockchain technology, or cryptography, who are interested in advancing the security of emerging financial technologies. 4o
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engineering solutions, while contributing to consulting projects and applied research initiatives. You’ll also play a key role in system enhancements, version updates, and supporting end users across
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Interoperability (using FHIR) in cutting-edge medical software systems Primary supervisor Chris Bain
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principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems
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intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system
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Geopolitical Security) as outlined in Impact 2030 . The scholarship is available to support students with living costs whilst studying at a Monash campus in Australia. Applications closes 31 October each year
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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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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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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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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