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Field
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programming languages (e.g., R, Python) and bioinformatics tools for data analysis is an advantage. Excellent communication and interpersonal skills, with the ability to collaborate effectively within a
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proficiency in SAS, Stata, and Python is required for this position. Preferences: Preferences: Preference will be given to those who have Special Sworn Status and experience working with restricted-use Census
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise
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or nucleic acids. Experience with mammalian cell culture and imaging Competent in molecular biology (cloning, and site-directed mutagenesis) Basic/advanced computer programming (Python, MATLAB, or R
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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 | 1 day 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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technologies in the areas of human language processing, machine learning, and virtual agents are needed. Knowledge of Java and Python and experience with cross-platform system administration is necessary
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated
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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