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Field
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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, instrumental variables, treatment selection, power analysis Proficiency in R, Python, or Stata for statistical analysis Experience with SQL and data management Familiarity with Generative AI tools and LLMs
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/quantitative research methods Documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript Possesses a strong academic record, with relevant experience in either industry
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, programming, systems thinking, and qualitative/quantitative research methods. Documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript. Experience in mathematical
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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, programming, systems thinking, and qualitative/quantitative research methods documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript experience in hydropower
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, programming, systems thinking, and qualitative/quantitative research methods documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript experience in hydropower
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in English Experience with programming (e.g. in MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous
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groups/populations. Preferred Qualifications PREFERRED QUALIFICATIONS: 1. Demonstrated experience with Linux/Unix environment, Python, and PyTorch. 2. Demonstrated experience with programmable network
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groups/populations. Preferred Qualifications PREFERRED QUALIFICATIONS: 1. Demonstrated experience with Linux/Unix environment, Python, and PyTorch. 2. Demonstrated experience with programmable network