542 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Monash University
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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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embedded in Schools / Departments and have strong links to the Gukwonderuk Unit. Only Indigenous Australians are eligible to apply for this position as it is exempt under the Special Measure Provision
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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
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based
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commencing from 2 to 4 June. Remuneration: HEW 5 , $54.39 per hour (loaded casual rate) The Opportunity The eExam IT Support Officer is part of a dynamic customer-focused team of IT support professionals
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discover them The Opportunity Monash Business School is seeking a Senior Operations and Facilities Coordinator to play a key leadership role in delivering high-quality operational and facilities services
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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promising results in building prediction models, they are typically data-centric, lack context, and work best for specific feature types. Interpretability is the ability of an ML model to identify the causal