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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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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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information and validate processes and support project outcomes assist with business process analysis to identify inefficiencies and improvement opportunities review and update documentation and resources
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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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ongoing maintenance of bespoke applications primarily related to AIBN, QBI and IMB Institute administration, data management and critical reporting. Core to this role will be your advanced software
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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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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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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
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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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epidemiological research. The role spans lifestyle epidemiology, multi-omics, and cardiometabolic health, with a focus on generating high-quality, data-driven evidence. The successful candidate will contribute