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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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doctoral degree in genetics/epigenetics, statistical genetics, computer science and bioinformatics, or other relevant areas at the time the position begins • Excellent organization and project management
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complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze
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, families), conduct school-based research, and maintain school relations Excellent statistics skills, including experience with longitudinal data analysis and multi-level modeling Excellent communication
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found on our web page, fds.yale.edu. Yale’s Data Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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or research setting and working familiarity with a statistical package. Bilingual applicants, especially Spanish speaking, are strongly encouraged to apply. Some activities will be possible to complete
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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and Python), along with an interest in applying these skills to problems in immunology/biology. A Ph.D. in a quantitative discipline is desired (Bioinformatics, Computer Science, Statistics, Physics
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performance computing, cloud computing, machine learning methods, and or statistical genetics. The ideal candidate will also demonstrate: Drive and initiative, and track record of impactful research outcomes