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) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health informatics is a team of investigators, postdoctoral researchers, programmers, and students who work
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statistical modeling and basic statistical concepts - Excellent English writing and oral communication - Strong organizational skills - Ability to work in a collaborative environment - Ability to travel/drive
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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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, bioinformatics or similar degree or an equivalent combination of education and relevant research experience to equal four years. Proficiency in SQL (Structured Query Language) Experience with database security
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related disciplines Research experience in use of hydrologic models Demonstrated experience with field monitoring of hydrology or soil parameters Demonstrated excellent written and oral communication skills
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available to the public. Responsibilities: Complete a virtual training program over the first 1-2 weeks of employment under the direction of a senior member of the research team Conduct research on each
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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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, along with excellent oral and written communication skills in English and strong publication preparation skills. About the Department The St. Anthony Falls Laboratory (SAFL) is an interdisciplinary fluid