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reproducible analytical workflows. Proficiency in R, Python, or another relevant programming language. Ability to handle, analyze, and interpret spatial data. Strong analytical skills and excellent written and
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workflows. - Proficiency in R, Python, or another relevant programming language. - Ability to handle, analyze, and interpret spatial data. - Strong analytical skills and excellent written and oral
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to undertake the CFA Program upon joining (see https://www.cfainstitute.org/ for background on the CFA® credential). Ability to prioritize and manage multiple projects and meet deadlines in a thorough and
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, or academic projects • Experience in writing research code in collaborative settings using languages such as R and Python • Ability to work effectively as part of a multi-disciplinary research team • Strong
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level of independence Experience in the management of research, scientific, or academic projects Experience in writing research code in collaborative settings using languages such as R and Python Ability
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center
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collaborative input, and contributing support to creative database projects. Ability to manage large datasets and extrapolate from data for use in public policy analysis. Familiarity with Python, R, and GIS
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research and data analysis across a variety of ongoing projects. The CIDER faculty can be found at https://business.cornell.edu/centers/cider/ . Depending on project needs, language skills, and individual