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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development and data processing and visualization with Python Strong interest in atmospheric
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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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, processes and new technologies is a plus Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles
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., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python