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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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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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with disabilities flexible working hours co-financing of language learning courses co-financing of training and courses additional days off for education life insurance pension plan savings and
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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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. Demonstrated fluency in R, Python, or Stata programming languages and documentation (through prior research) of strong quantitative skills, as evidenced by application material. Ability to work both
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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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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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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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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb