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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a Master’s degree or a good honours
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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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
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a new interdisciplinary school at HKU dedicated to preparing students to create meaningful impact in a rapidly changing, technology-driven world. With its undergraduate and postgraduate programmes in
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technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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Society, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to: • biomedical science and engineering • veterinary science
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to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics