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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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multiple projects; (e) quality control and continuous learning including review of annotated data, participation in quality control processes, sharing experiences, and assistance in training new
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Responsibilities The appointee will 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
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) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess the safety of ML models with
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English and Chinese; (c) good computer literacy; and (d) good interpersonal and organisational skills. Applicants are invited to contact Ms Beckie Li at telephone number 3400 3686 or via email at
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construction and testing processes of automated agents to continuously enhance system intelligence; (c) utilise the in-house Agent platform to automate complex business processes and continuously optimise
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Legal Compliance Researchers and be required to: (a) design and improve AI legal business SOPs covering financial field processes and compliance standards; (b) assist in establishing classified
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complex business processes and continuously optimise workflow systems to ensure system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI
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proxy rotation, CAPTCHA recognition, Cookie pool management, request frequency control, and handling JavaScript rendering; (d) have experience in data processing, including using Elasticsearch for data
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, data collection, and/or data processing and analysis or strong programming skills with the ability to assist in system and software development. Applicants are invited to contact Prof. Stephen J. Wang