642 embedded-system "https:" "https:" "https:" "https:" "St" "St" positions at Monash University
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Creating efficient and beneficial user agent interaction is a challenging problem. Challenges include improving performance and trust and reducing over and under reliance. We investigate
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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Monash Graduate Research Equity Supplement This top-up scholarship supplement is intended to assist with extra expenses a Graduate Research student with a disability or long-term medical condition
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Online fraud, also referred to as cyberscams, is increasingly becoming a cybersecurity problem that technical cybersecurity specialists are unable to effectively detect. Given the difficulty in
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to reason with more than just and-gates, not-gates and or-gates! For example, we now have non-classical logics which capture notions such as “phi is true until psi becomes true”; “if we execute atomic program
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operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH). To expand further, VBDH is a discipline area that sits
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Geopolitical Security) as outlined in Impact 2030 . The scholarship is available to support students with living costs whilst studying at a Monash campus in Australia. Applications closes 31 October each year
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engineering solutions, while contributing to consulting projects and applied research initiatives. You’ll also play a key role in system enhancements, version updates, and supporting end users across
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions