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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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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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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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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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with cutting-edge computational and AI-driven methodologies, contributing to the Department's strategic vision of integrating geospatial data sciences with environmental and sustainability research
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supervision. Candidates with 2-3 years of postdoctoral experience are preferred. Experience with AI-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research
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-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research, public health research, or environmental monitoring systems will be considered an advantage. Terms
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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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theoretical modeling. The successful candidates are expected to develop a vigorous, externally funded research program and provide excellence in teaching at all levels. The successful candidates