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Company: Princeton University Description: Through The center for Statistics and Machine Learning at Princeton University, Princeton Language and Intelligence Initiative is now accepting applications
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platform Familiarity with R Statistical Software and inferential statistics Data analysis and data visualization in R (advanced) Strong written communication (can write an analysis white paper) Ability
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algorithms. 2. Analyze reinforcement learning algorithms. Essential Qualifications Experience with probability/statistics, calculus, machine learning, and reinforcement learning Be advised that you will be
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analysis; and development and implementation of population genetic statistics for analyzing microbiome data. Additional responsibilities include maintain labs servers and training undergraduate and graduate
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skills * Experience/comfort contacting human sources on the phone to seek data and develop research collaborations * Proficient in the use of Stata or comparable statistical software for academic research
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, communication and writing skills * Proficient in the use of Stata or comparable statistical software for academic research * High level of emotional intelligence, judgment and strategic agility We at the School
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, education, or related discipline General knowledge of social science research methods, statistics, and experimental studies with human subjects Excellent communication, management, and administrative skills
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includes working with large, complex datasets using statistical programming languages, including Stata and/or R. Ability to multi-task and prioritize effectively to meet internal and external deadlines
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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datasets (such as those generating by high-throughput sequencing) as well as experience with scripting in bash, python, and/or R is desired. A background in statistics and/or population genetics is also