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Skip to main content Main Menu - Primary Home Projects Supervisors Contact Automated software testing and debugging with/without LLMs Primary supervisor Yongqiang Tian Research area Software
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process rationalisation, as well as contribute to projects involving system development and testing. You’ll work with a broad range of stakeholders to improve efficiency, reduce costs and enhance
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action in a software project. Furthermore, the refined LLMs will prove valuable in assisting with writing documentation throughout the software development journey. Required knowledge Software engineering
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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing
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controls and 3D visualisations. Responsibilities include validating browser-based outputs against Python reference predictions, benchmarking performance, testing cross-browser compatibility and optimising
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eExam IT Support Officer Location: Clayton Campus Employment Type: Casual Duration: Semester 2 Exam Delivery Period from Monday 2 November to Wednesday 18 November inclusive with in-person training
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knowledge program analysis, fuzzing, software testing, natural language processing
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testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE Framework Model an AI system that combines reasoning, planning, and self-correction for software engineering tasks
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to the design and empirical evaluation of a large-scale field experiment, including household, market and value-chain surveys, quantitative analysis, and the development, testing and implementation of a digital e
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practices, including cloud-native architecture, CI/CD, AI-enabled development, automated testing and secure-by-design principles. Proven experience leading multidisciplinary software engineering or digital