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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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some modelling experience will be a distinct advantage. Experience with other interfacial characterization techniques would also be beneficial especially in the absence of scattering experience
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uptake and adherence, and the modelling of future health inequalities by building tools for distributional cost effectiveness analysis. Integrated PhD Program As a candidate in the Centre for Health
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language models (LLMs) to address these challenges by developing a comprehensive framework that seamlessly integrates LLM capabilities for generating accurate and optimised code, constructing complex SQL
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship
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that helps users (e.g., patients and loan applicants) understand the predictions of ML models and their uncertainty. The prospective candidate may focus on ML aspects or eXplainable AI (XAI) aspects
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program. You will develop and implement cutting-edge computational approaches to accelerate the identification and optimization of novel drug candidates, including molecular dynamics, protein modelling
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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). Proxsituated visualization: An extended model of situated visualization using proxies for physical referents. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20). [3