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Research Assistant (two posts) [Appointment period: each for three to six months] Duties The appointees will assist the project leader in the research project - “Researching and developing graph
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required to: (a) write efficient code for algorithms to test efficiency and effectiveness of methods; (b) utilise existing and new methods to generate signed datasets; (c) research and summarise
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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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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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) write code and conduct research on causal reasoning, bias mitigation and interpretability in Large Language Models (LLM); (b) design and implement algorithms or frameworks for enhancing
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join a multidisciplinary team led by the Principal Investigator to develop AI‐driven navigation systems in robotic implant surgery. The duties include but not limited to: designing, implementing, and
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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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applications for the captioned post. Duties and Responsibilities The appointee will join a multidisciplinary team led by the Principal Investigator to develop AI‐driven navigation systems in robotic implant
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assist the project leader in the research project - “Enabling bulk data transfers for Low-Power Wide-Area Networks”. He/She will be required to: (a) develop innovative solutions to improve
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d