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and develop novel extended reality paradigms/algorithms for computer-assisted surgery; (c) research and develop novel learning algorithms via effective fusion of empirical knowledge, human
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) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms for computer-assisted surgery; (c) research and develop
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for computer-assisted surgery; (c) research and develop novel learning algorithms via effective fusion of empirical knowledge, human interactions and machine inference; (d) write papers, reports and
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experience at the time of application. Preference will be given to those with: (a) a PhD degree in GIScience, Geomatics, Computer Science, Big Data, Machine/Deep Learning, Artificial Intelligence or a
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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have
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aiming at supporting ethnic minority children in kindergarten and junior primary sector to learn Chinese under a culturally responsive education framework, as a scale-up extension of a completed project
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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are seeking an experienced and highly skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning
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“expected output index” worldwide in Electrical and Electronic Engineering by Times Higher Education World University Rankings 2018. Duties Teach and supervise student projects at both undergraduate and
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research