253 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
++, Java, or Python code, Basic static analysis tools such as Semgrep, CodeQL, or SonarQube Nice to Have CodeBERT, CodeT5, or GraphCodeBERT, Program analysis, Data-flow and control-flow understanding
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to key project activities including interviews, observations, co-design workshops, feasibility testing, data analysis, manuscript preparation and knowledge dissemination. Working independently and
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this initiative, Honours students will engage in innovative research projects that combine biomedical science, clinical and health research, artificial intelligence, data science, and digital technologies
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are supported by quantum mechanical theoretical formalisms. Our fundamental findings yield promise for future applications in electronics, optoelectronics, spintronics, information processing and storage, sensing
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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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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. Wide-field quantum microscopy of exotic materials High
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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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experience providing excellent and professional administrative and executive support services in a busy and complex environment; and Highly developed computer literacy, including your experience using business
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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Scholarship (Project 89)’ in your application. Please ensure you read the application details carefully and submit your application by the deadline. For more information on the funding scheme, contact the team