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the delivery of a range of technical services. This position manages electrical and electronic design and assembly, providing integrated solutions involving computer interfacing equipment and systems
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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science, AI, software and cybersecurity, human-computer interactions, and nature-positive innovation Enjoy a supportive academic environment that values creativity, rigor, and societal relevance About
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Computational drug discovery Primary supervisor Geoff Webb Research area Data Science and Artificial
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of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green ironmaking
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cardiometabolic health. With a doctoral qualification and a strong health professional background, you bring extensive experience in clinical research, implementation science or healthcare improvement. You have a
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% employer superannuation) Amplify psychological science innovation at a world top 50 university Join our inclusive, collaborative community Be surrounded by transformative ideas — and lead them as Senior
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Automated software testing and debugging with/without LLMs Primary supervisor Yongqiang Tian Research area Software Engineering The objective of this project is to design automated approach to detect...
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In this project, we will develop automated approach to detect the defects in AI systems, including LLMs,...