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constructed language, and linguistic obfuscation. All of these will be different depending on the conversational context, and these elements will gradually shift over time. Data for this analysis may come from
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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Research Fellow, Data Analyst - Centre of Research Excellence in Bipolar Disorder Job No.: 693859 Location: Clayton campus Employment Type: Full-time Duration: 12-months fixed-term appointment
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Research data governance is an under-explored issue, and technical infrastructures to support the transparency and control of data collected in human research studies (from medicine to social
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conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate model: it needs to recognise when information is unreliable and decide how much
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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explored through touch. The RTD is the blind person's equivalent of the computer visual display. The second is genAI-powered conversational agents. These enable the blind user to control the RTD and obtain
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-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often leads to ambiguous generation, as different molecules can yield