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) methods. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-MOUBEN-002/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation
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team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8190-JEARAU-003/Default.aspx Work Location(s) Number
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but not limited to Stata and R. Produce summary statistics and conduct basic statistical analyses Writing scripts in python to automate processes and for webscraping Assist with data analysis and
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the use of databases or knowledge in data processing and statistical metrics*; 2. Proficiency in English*; 3. Knowledge of Python, MATLAB or R programming languages*; * mandatory requirement Work plan: The
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or more programming languages or statistical packages (e.g. Python, R, SPSS, SAS, etc.) Familiarity with data sources such as ICPSR, Mergent, Roper, Social Explorer, World Development Indicators,Â
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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good academic & judicial standing with the University of Arkansas Have programming experience in Python and/or R Must have previously completed Calculus I and/or Calculus II or equivalent Preferred
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micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
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preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing