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                package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer 
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                and programming experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff 
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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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                computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English 
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                experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff are entitled to university