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in Spring 2027. 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
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at the interface of computation and biology, supported by strong institutional commitment and cutting-edge infrastructure. Research areas of interest include: • Development of novel AI and machine learning
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vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing
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communication and computer skills. A good command of written and spoken Putonghua/Cantonese and English is essential. Ability to work independently and proactively, along with a positive attitude towards active
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SQL, Python/R, or similar tools; experience with big data platforms, machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent leadership
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Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date
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computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 54 academic staff and about 105 research personnel in
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are trained across a range of practical disciplines spanning digital media art, animation, film, photography, and computer games. The School bridges the boundaries between art, technology, and computer