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Stata or R would be an advantage. Integrated PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within Monash Business School in Melbourne
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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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This project involves the automated generation of textual descriptions for audio content, such as spoken language, sound events, or music. This process typically employs deep learning techniques
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suitably qualified individuals for up to three training scholarships in health economics within the PACE program. The successful candidates will undertake a tailored training program in theory and methods
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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or publications; Have experience with Python programming and the use of high-performance computing infrastructure for AI research; Have excellent written and verbal communication skills; Have the ability to work
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. This project is funded through the Australian Government National Industry PhD Program and provides a unique opportunity to conduct cutting-edge AI research while working closely with industry to translate
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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knowledge program analysis, fuzzing, software testing, natural language processing
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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