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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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have high-quality peer-reviewed conference/journal papers in deep learning, and natural language processing fields. Applicants are invited to contact Prof. Boris Ng at telephone number 2766 4021 or via
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The appointee will assist the project leader in the research project - “NeuroLap”. He/She will be required to: (a) research and develop novel deep learning models for medical image analysis; (b) research
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experience at the time of application. Preference will be given to those with: (a) a PhD degree in GIScience, Geomatics, Computer Science, Big Data, Machine/Deep Learning, Artificial Intelligence or a
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) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms for computer-assisted surgery; (c) research and develop
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”. He/She appointee will be required to: (a) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms
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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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are designed for seasoned professionals who can blend deep technical expertise in systems programming with a strategic understanding of quantitative finance, driving the project from concept to a robust
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and