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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 applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
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This project seeks to explore the use of 3D printing to provide better access to graphical information to those who are blind or have low vision. Most graphical information is inaccessible to the blind and low vision community. This could be any of the 1000's of graphics we see on a daily...
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty of Information Technology has a mission to advance social good through its research. Key to this...
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As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly challenging for clinicians and pregnant women. Digital health records, advances in big data,...
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. Participating in an overseas study program . This excludes the Global Immersion Guarantee. Living with a disability or medical condition. You must be registered with Disability Support Services . Benefits $3,000
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Research Fellow – Injury Data & Health Policy Job No.: 677444 Location: 553 St Kilda Road Employment Type: Full-time Duration: 18 month fixed-term appointment Remuneration: $118,974 - $141,283 p.a. Level B plus 17% employer superannuation Amplify your impact at a world top 50 University Lead...
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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within
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in their second or third year of study at Monash University. This scholarship is available to students enrolled in a degree within the Faculty of Engineering, Faculty of Science or Faculty
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or academia in an under-developed domain. You will, therefore, need to have an honours degree or Masters in psychology or a related social science field (e.g., business studies, criminology, sociology