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Field
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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methods such as in-situ infiltration sampling, topographic and bathymetric surveying. Proficiency in programming languages such as Python and R. Responsibilities Research- Under general supervision, is
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expertise in one or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing
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or Perl, along with experience using shell environments (e.g., Bash) and statistical programming in R, is required. Entirely remote work arrangements (including for applicants residing outside of Arkansas
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive
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Health Sciences Address 1703 E. Mabel St. , Tucson, AZ 85721 USA Position Highlights The Chen lab in the Department of Pharmacology and Toxicology at R. Ken Coit College of Pharmacy, University of Arizona
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graphpad prism and R Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information
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. • Demonstrated ability or potential to lead graduate student research. • Experience with Matlab, R, Python, C++, or Julia. • Experience collecting data from human subjects. Exempt: Not eligible for overtime
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g