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R for working with the project codebase. Desired qualifications Expertise with spatial, temporal, or spatiotemporal modeling, causal inference, AI/ML/DL, causal ML, explainable ML, AI/ML/DL, and other
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would view as incredibly helpful in this role, to include: Master's degree in ornithology or related field preferred. Proficiency in R and/or other data analysis tools to inform collections management
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working with mosquitoes. Preferred Qualifications Associate’s degree, 2 years of college coursework or more Experience with statistical analyses in R. Experience with mosquito rearing, injections and
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/animal breeding applications. Advanced knowledge of quantitative genetics theory. Experience writing code in common scripting languages (R is preferred) Preferred skills: Experience with and understand
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the Technion-Israel Institute of Technology and in close collaboration with the NYC Economic Development Corporation after Cornell won a worldwide competition initiated by Mayor Michael R. Bloomberg’s
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skills. Excellent working knowledge of current analytical software. Analytical capabilities in the R coding language (or willingness to learn quickly) is required, as is use of GitHub and WordPress
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, to include: Master’s degree in ornithology or related field preferred. Proficiency in R and/or other data analysis tools to inform collections management decisions. International birding tour leading skills
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Institute of Technology and in close collaboration with the NYC Economic Development Corporation after Cornell won a worldwide competition initiated by Mayor Michael R. Bloomberg’s administration to create
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Economic Development Corporation after Cornell won a worldwide competition initiated by Mayor Michael R. Bloomberg’s administration to create an applied sciences campus in New York City. More than 1,000
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generation of highly complex code in Python, R, and C++. Proven ability to develop AI tools for challenging large-scale spatiotemporal applications, for both predictive and inferential objectives. Demonstrated