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Conduct preliminary data analysis under statistical guidance o Participate in interpretation of study findings • Academic Productivity o Lead and/or contribute to abstract submissions for national
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of national and international agencies, currently including the UK Office of National Statistics, the UK Economic Statistics Centre of Excellence, the International Labour Organisation and the OECD
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, communication, and presentation skills. Strong statistical knowledge and analytical skills Excellent organizational skills Demonstrated ability to work in a team environment. Proficient knowledge of basic
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the Institute of Statistical Science at Academia Sinica. The successful candidate will have opportunities to engage in cross-institutional research projects and participate in interdisciplinary academic
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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Qualification requirements PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics, or a related field. Proficiency in Python and/or R etc., with a strong understanding of statistics
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controlled trials (RCTs) in developing countries. Candidates should have strong quantitative skills, including proficiency in statistical software (e.g. Stata, R, or Python). Experience coordinating field
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experience in statistical analysis and practical skills in statistical software such as R or STATA. It is considered an advantage if you: Have knowledge of health registries, perinatal epidemiology
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, carbon management, and emission tracking, would be beneficial. Additionally, the candidate should have experience applying advanced statistical or econometric methods to energy systems modeling and ideally
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, including data preprocessing, feature engineering, and preparation of datasets for robust model training and validation. Experience with computational and statistical analysis in Python and R. Familiarity