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methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis
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for career development and networking. Competitive stipend and benefits. The chance to live in Hong Kong renowned for its quality of life and cultural activities. How to Apply and required documents: Personal
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the Networks and Behaviours of the Ultra-Rich (led by Professor Heng Chen ) Examining the Socio-Economic Impacts of Income and Wealth Inequality (led by Professor Paul Yip ) Key duties include conducting both
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- “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research
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- “Advancing UAV based low-altitude logistics: a network-based optimization framework for Hong Kong”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference will be
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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and SPSS, for large and complex data analysis Proven knowledge and experience in undertaking research related to end-of-life care is advantageous What We Offer The appointment will commence from as soon
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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machine learning force fields (MLFFs) to scale up simulations, and model larger and more complex systems; (c) analyze simulation data to predict material properties, reaction pathways and diffusion