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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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, reporting, and project coordination; Supporting prototype development, testing, and evaluation of immersive experiences and accessibility-focused technologies; and Maintaining project datasets, research
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design research, develop/prototype/implement product-spatial intervention strategies, and develop instructional materials to support teaching and research activities. They will also assume a pivotal role
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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toolkits, integrated manuals and storage management visualised guides, and design-thinking activity kits; (f) synthesise qualitative insights from user engagement during design prototype development and
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for large dataset processing. In addition, the laboratory has more than 4000T medical data, including medical records, medical images, and pathological images, publishing more than 170 peer‐reviewed journal
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Knowledge of graphic design and image-processing software (e.g., Canva or similar AI tools). Relevant professional and/or teaching experience in tertiary education or a related environment is preferred
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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methodologies for biological and biomedical discovery • Advanced computational approaches for large-scale multi‑omics data, biological imaging, and systems biology • Predictive modelling and data-driven