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affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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performance over time. We're looking for a candidate with a strong background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on
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topics. Good programming skills; experience with C, C++, Fortran or a matching. programming language. Good communication skills and proficiency in written and spoken English. A good team spirit. Some
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description The Project Imagine trying to have a conversation while cooking or carrying groceries, but the only way you can communicate is by typing on the phone or using sign language. For many
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professional competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably
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as water management, agricultural systems, or environmental science. You have a strong quantitative profile, including experience with data analysis, modelling, programming, or computational research
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sensor data, and in situ data Comfortable with programming or scripting in Python or R for data analysis and for bringing your models to the data Good communication skills and an excellent command of