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background; experience in analyzing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral
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. The successful candidate will be able to teach one of the undergraduate courses related to data analytics, machine learning, image processing, statistical learning, large data structures and algorithms AI/ML
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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
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-year fixed-term basis, with the possibility of renewal. Applicants should possess a Master’s degree or above in Business, Economics, Finance, Statistics or related disciplines with at least 15 years of
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engineering veterinary science computer science and data science neuroscience and neural engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace
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/view/feisongphil ). The appointee will be involved in an interdisciplinary project aiming at applying works from decision theory and statistics to address the issue of moral significance of small
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cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
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Engineering, Applied Mathematics, Statistics, or any related subjects. Expertise and rich experience in computer vision are necessary. Knowledge of computer programming and prior experience in system
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, Social Sciences, Health Sciences, Mental Health, Education, or related disciplines, ideally plus several years of experience in conducting research. He/she should be able to use statistical programmes