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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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experience EXPERTISE *Expertise in one or more of the following research areas: computational modelling, reasoning and knowledge representation, behaviour change technology, human-centered AI. *Standing out
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with excellent academic record, evidence of practical experience of research in primary school contexts/intervention research and knowledge of reading motivation and/or engagement research. Your
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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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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underlying cognitive and affective symptoms in Parkinson’s disease. The post holder will contribute to multimodal neurophysiological data acquisition, computational analysis, interpretation, publication, and
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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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of Education (Ref.: 535006), to commence as soon as possible until 31 August 2026, with the possibility of renewal. Applicants should possess (i) a Master’s degree in Psychology, Neuroscience, Cognitive Science
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condition, but also our strength. And it is a strength that ensures our research and education are recognized both nationally and internationally. Our vision is to create and apply knowledge across