635 embedded-system "https:" "https:" "https:" "https:" "Kiel University" positions at Monash University in Australia
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The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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strategies using hybrid quantum-classical approaches. While current learning analytics systems rely on classical statistical and machine learning techniques, they often struggle to capture the complex
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As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and feedback processes has emerged as a critical area of innovation. Large-scale learning
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by
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My research focuses on strongly interacting quantum systems at the interface between condensed matter physics and ultracold atomic gases. In particular, I am interested in the interplay between few
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, Alice has no choice but to give away her highly sensitive information. A more ideal solution is to use a PET tool to provide Alice a way to (cryptographically) prove to SerPro that she is eligible
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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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Identifying vulnerabilities in real-world applications is challenging. Currently, static analysis tools are concerned with false positives; runtime detection tools are free of false positives but
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Effective allocation of tasks is essential for any socially living group. This project investigates self-organised task allocation, ie groups in which tasks are not centrally assigned to individuals