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and willingness to have a societal impact; an empirical research focus and knowledge of quantitative content analysis and computational methods; proven proficiency in statistical software such as Stata
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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with machine learning and, ideally, federated and/or deep learning methods intermediate to high level of statistical and mathematical skills excellent oral and written communication skills in English In
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Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. SUNY Research Foundation: A Great Place to Work. The starting
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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to display meaningful features. Completes statistical and qualitative analyses on new and available data sets. Prepares comprehensive documented observations, analyses and interpretations of results including
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report
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analysis. Proficiency in bioinformatics and statistical analysis. Experience with genome assembly and annotation. Excellent communication skills and ability to work collaboratively. Previous research
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of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology, applied statistics, or a