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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and conservation studies. This currently advertised position will fulfil a role on an Animal
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hybrid cloud environments. You will drive the modernisation of Monash’s Linux capability through automation, Infrastructure as Code, observability, platform engineering and AI-enabled operations, while
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This project will explore the security and privacy challenges inherent in the tokenization of real-world assets (RWAs) using the blockchain technology. As industries increasingly adopt tokenization
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This project examines how films produced in Asian markets perform in terms of commercial success and critical recognition using real-world industry data. Students will compile a dataset of films
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scientific text at scale, but they are known to hallucinate associations, conflate correlation with causation, and inherit biases from their training data, making them unreliable as standalone scientific
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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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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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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