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. The appointee will be responsible for coordinating and conducting project related activities; collecting data; liaising with schools; writing research reports and articles; and other duties as assigned by
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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case study of multicultural students in primary and secondary schools in Hong Kong. He/She will be required to design research questions, review literature, manage data collection (including design
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information about the Faculty can be found at https://facdent.hku.hk/. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of
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intelligence. The appointee will be involved in laboratory research and data analysis. He or she may participate in the training of junior research students and other duties as assigned. For further information
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. Responsibilities include managing data collection and analysis, conducting literature searches and reviews, manuscript writing, and other research-related duties as assigned. A competitive salary commensurate with
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focus on hepatocellular carcinoma. For further information, please contact Professor Guan at xyguan@hku.hk. The appointment will commence as soon as possible on a temporary basis for 1-2 year(s), with
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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a theme-based collaborative project. For further information, please contact Professor Stephanie Ma
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Information Modeling (BIM), including Revit, IFC, ifcopenshell, compliance checking, design generation, and design checking; and Experience in AI and LLM-related development, including RAG, knowledge graph