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engagement initiatives. We are looking for someone interested in gaining experience in planning/executing events, monitoring engagement metrics with basic data analysis, social media management, and content
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on their location or textual information. The aim of this project is to build a next-generation navigation system by addressing limitations in the current systems – such as allowing more meaningful distance measures
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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
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the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task to the observer. This Ph.D. project will provide a unified probabilistic and decision-theoretic
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impactful Promoting continuing professional education (CPE) and outreach programs to support learning, engagement and community connection Analysing feedback and engagement data to inform continuous
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donors by working closely with central and local advancement teams, providing insightful data, shaping compelling cases for support, and crafting meaningful donor impact reports. Key responsibilities will
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skills in biostatistics and data analysis, including proficiency with statistical software (e.g., Jamovi) and data science languages (including R) for producing data visualisations and analysing data
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Privacy-Enhancing Technologies (PETs) are a set of cryptographic tools that allow information processing in a privacy-respecting manner. As an example, imagine we have a user, say Alice, who wants
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Discover Curtin Why Work at Curtin Diversity Equity and Inclusion at Curtin Popular Links Aboriginal and Torres Strait Islander Employment Why work at Curtin Applicant Information Current Opportunities
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from