115 algorithm-development-"Multiple"-"Prof"-"Prof"-"St"-"Simons-Foundation" research jobs in Hong Kong
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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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machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime transport”. Qualifications Applicants should have: (a) an honours degree, preferably in mathematics, logistics
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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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Medicine at HKBU is dedicated to advance sleep and mental health research. Our research focuses on developing and evaluating the efficacy of various novel interventions for the treatment of sleep and mental
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Health Research) (25260330) Project Introduction: The School of Chinese Medicine at HKBU is dedicated to advance sleep and mental health research. Our research focuses on developing and evaluating
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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