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, information science, criminology or media and communication studies and who have training in quantitative methods (e.g., regressions, non-parametric, parametric tests, Structural Equation Modelling) and/or qualitative
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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. Oversee accreditation processes for the medical program, working closely with clinical and pre-clinical leads, curriculum heads, and assessment teams. Chair the admissions and selection reference group
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Clinical Skills Educator and contribute to the development of the Clinical Skills Program for medical students. This role is central to designing, delivering and evaluating high-quality training that builds
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...
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contribute to both research and teaching, helping advance the School’s academic and professional goals. As a Lecturer you would develop a leading research program in Analytical Geochemistry/Petrology and
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI research and cybersecurity research, notably one current direction is on advancing the latest...
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Intelligence; Software Systems & Cybersecurity; and Human-Centred Computing - with cross-cutting research themes covering work from core computing science through software engineering to social and
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My research focuses on the dramatic final stages of massive stars, exploring how they end their lives as gamma-ray bursts, supernovae, and kilonovae. To unravel these mysteries, I employ a combination of multi-wavelength observational data with sophisticated simulations. I am a member of various...