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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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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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diverse data sources while addressing the challenges of limited computation, memory, and energy availability at the edge. Leveraging advances in multi-modal deep learning, sensor fusion strategies, and
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models (VLMs) on edge hardware. While VLMs have demonstrated strong capabilities in multimodal reasoning and understanding, their high computational and memory demands pose significant challenges for real
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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour (loaded casual rate) Amplify your impact at a world top 50 University through innovative...
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develop team members, and deliver outstanding customer service. You will be a collaborative and proactive professional with sound computer skills, a commitment to safety and compliance, and the ability