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academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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University of Arizona Health Sciences Address 1703 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy invites qualified applicants to apply for the positions
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://www.pharmacy.arizona.edu/ Location University of Arizona Health Sciences Address 1703 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy invites qualified applicants to apply
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studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
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in population genetics, statistical genetics, or a closely related area. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python). Experience with
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combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets
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undertake major scientific research tasks such as the National Key R&D Program, National Natural Science Foundation Program, National Major Scientific and Technological Special Project for “Significant New
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to program fluently in at least one common scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in sediment transport modeling. Preferred Qualifications, Competencies
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets