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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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. Applicants should possess a Ph.D. in Social Work, Psychology, other Social Sciences, Statistics, or other related disciplines. Those with a strong background and a track record in mental health-related
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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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, 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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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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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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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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statistical software packages An excellent command of written and spoken English What We Offer The appointment will commence as soon as possible on a 1-year fixed-term basis, with the possibility of renewal