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Python and modern machine‑learning development, including version control (Git), testing, and reproducibility; experience with cloud-based solutions (e.g., Azure) is a plus. In our international working
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skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
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skills in Python (experience with optimization or scientific computing libraries is a plus); excellent communication skills in English. For this position your command of the English language is expected
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programming skills in Python or Java (experience with APIs, databases, cloud technologies, or software development frameworks is a plus); excellent communication skills in English. For this position your
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energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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); Experience in quantitative data analysis and visualizations with R and/or Python; Interest in working with behavioral data, such as movement trajectories, interaction logs, task performance, and eye-tracking