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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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(e.g. Python, R, SPSS, SAS, etc.) Demonstrated experience developing and/or implementing policies, procedures, or best practices for data management or curation Experience and/or coursework involving use
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, especially using electronic communication methods. Skills and experience with teaching graduate statistics, including familiarity with R. Ability to teach in person courses on the Saint Louis University campus
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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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quantitative and/or qualitative research, with a focus on K-12 or postsecondary education Expertise with statistical analysis software such as STATA, R, SAS, or SPSS Methodological expertise in research design
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and have a first-author publication history in peer-reviewed journals to demonstrate research success. Preferred qualifications: • A background in immunology • Experience with R and/or the analysis
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history in peer-reviewed journals to demonstrate research success. Preferred qualifications A strong background in immunology Experience with R and/or the analysis of sequencing data sets Interested
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Statistics using R software Adjunct classes are generally in person and during the business day. A Master’s degree in Mathematics, Statistics, or a related area is required. Applications should include a