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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Social Science discipline. Strong research interest in migration and skills in quantitative data analysis in R are required. Preference is given to applicants with demonstrated skills in one or more of the
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Utilized The Perl and/or python programming languages, R statistical package and the Unix operating system Physical Demands and Work Environment NA Overview This position is for a postdoctoral researcher to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
, and document statistical methods in R. (Additional experience in C++, Fortran, and/or Python is welcome.) Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral
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statistical programming. Strong programming skills in R are required. Required Application Materials: A cover letter, CV, a short description of research interests, and contact information of three referees
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, representative samples of your work, and the names of three people who agreed to write letters on your behalf to koulakov@cshl.edu. In addition, please apply online to position #03057-R using the following link
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Founded in 1848, the University of Mississippi (UM), affectionately known to alumni, students and friends as Ole Miss, is Mississippi's flagship university. Included in the elite group of R-1
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what research products to publish will be determined by Dr. Ellison. Preferred Qualifications Equipment Utilized The Perl and/or python programming languages, R statistical package and the Unix operating
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statistical analysis platforms such as Python, R, and Java. Good communication skills Strong academic records in terms of publications, research project experiences, etc. The individual must be highly motivated
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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Qualifications: • Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good