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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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at least two programming languages including Python Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 18 hours ago
. Demonstrated experience in Databricks and Azure Data Factory or similar technologies (examples, Microsoft Fabric, Informatica, Snowflake, Qlik). Proficiency in Python for data engineering. Experience with Git
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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
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pipelines (e.g., handling transcriptomic or scRNA-seq datasets using R or Python). Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. What We Offer
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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with z-Tree, oTree, and Python. Running computerized laboratory, online, and field experiments. Recruiting, training, and supervising undergraduate research assistants Performing research duties (e.g
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/econometric analysis and in R, Python, or other analysis tools. Experience in handling large datasets and applying advanced analytical methods Strong communication and collaboration skills A track record of
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | 20 days ago
/programming skills for text editing and data analysis (e.g., : Microsoft Office Suite, C++, Matlab, IDL, Python, or other programs for data and image processing); A high level of intellectual curiosity
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protocols in the oceanographic community such as NetCDF, Ocean DataView, MatLab/python/LabView or other programming languages. ● Basic knowledge of mechanics, computer interfacing and electronics