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availability. The applicants should possess a Master’s degree or above in Gerontology, Psychology, Social Sciences, Health Sciences, Statistics, or a related discipline with at least 1-year post-qualification
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experience in healthcare-related disciplines. They should be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should have an excellent command of written
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, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should have an excellent
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, Psychology, Public Health, Statistics or a related discipline. They should have adequate knowledge of quantitative research methods as well as a good command of written English. Experiences in research topics
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• neuroscience and neural engineering • bio-statistics and AI-healthcare • smart/semi-conductor manufacturing • AI/robotics/autonomous systems • aerospace and microelectronics
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, Statistics, Public Health or related disciplines with at least 5 years of relevant research experience. They should have a good command of written and spoken English and Chinese (including Cantonese); good
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chemistry and quantum dynamics Computational statistical mechanics for biochemistry and/or materials Machine learning for chemical theory, computation and application Computational cheminformatics and data
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for chemistry, including but not limited to: • Quantum chemistry and quantum dynamics • Computational statistical mechanics for biochemistry and/or materials • Machine learning for chemical theory
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science and data science • neuroscience and neural engineering • bio-statistics and AI-healthcare • AI/robotics/autonomous systems • aerospace and microelectronics engineering • computational
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pursue a coherent research agenda the ability to develop a body of high-quality publications in scholarly journals with global impact proficiency in statistical software packages, including SPSS and R