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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and
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are not limited to, digital project engineering and management, construction informatics, construction robots and automation, digital transformation, digital heritage conservation, safety management
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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Innovative Multimedia Entertainment (MScIME); (b) engage and provide a high-quality learning experience to students by designing, coordinating and teaching the subject(s) for the MScIME programme offered by
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). For more information about the programme, please visit https://www.ln.edu.hk/daci/ . DACI is inviting applications for fixed-term position of Research Assistant Professor to contribute to teaching and
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social policy, health policy, labour and welfare policy, social entrepreneurship, social innovation, regional/area studies and quantitative research method; (c) have proven track records in teaching
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areas of applied and computational mathematics including applied analysis, mathematical modelling, scientific computation, numerical analysis, probability and statistics etc.; teach undergraduate and
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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, including: Health policy Research methods and data analytics Social determinants of health and well-being Ageing studies Health and social services management Digital aspects of health and well-being studies