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to the frontend user interfaces for faculty and students; (c) build and optimise the application layer that interfaces with Large Language Models (LLM); (d) design and implement RAG (Retrieval-Augmented
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qualification; (b) have experience in conducting research, and skills in process systems engineering and AI for modelling industrial systems; and (c) be proficient in English. Applicants are invited
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qualification; (b) have experience in conducting research, and skills in process systems engineering and AI for modelling industrial systems; and (c) be proficient in English. Applicants are invited
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or related engineering fields; Demonstrated expertise in Artificial Intelligence, including but not limited to computer vision, intelligent robotics, or large language models; Practical experience in applying
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/ambient light handling. Image Preprocessing, Segmentation, and Feature Engineering Improve automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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of HKU, a new operation model for the Hospital has been introduced, aiming at providing high-quality services from primary to tertiary levels to patients in the region, whilst sustaining a teaching and
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automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab and classical computer vision; Develop quantitative features, including color metrics (RGB
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deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
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/relevant work experience. (b) have basic knowledge of software, networking and Windows / Linux OS; (c) have knowledge in Python / PHP / C++ / C# / JavaScript / RDBMS / large language models for AI