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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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professionals providing excellent frontline support to Monash University students, eExam Supervisors, and the broader eAssessment Operations Team during the delivery of end-of-semester exams. The primary focus is
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into an accessible and practical digital resource. Applications are encouraged from candidates with the technical expertise and research focus to make a valuable contribution to this project. Monash University seeks
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to the heart of research and technology innovation! About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great
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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
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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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knowledge program analysis, fuzzing, software testing, natural language processing
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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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Skip to main content Main Menu - Primary Home Projects Supervisors Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In this project, we will develop