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) Epidemiology, Bioinformatics or a related field; demonstrated expertise in programming and quantitative data analysis in R/Python; a strong interest in high dimensional omics and exposome research; excellent
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in contributing to the study of cryosphere changes; a Master’s degree in (climate) physics, geosciences, meteorology, oceanography, or similar; strong programming skills (Python or similar); affinity
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will hold an MSc in Earth Sciences, Geology, Physics, or related field by the time the position starts. Good quantitative skills and programming experience (Python/MATLAB/Julia) are essential. Ideally
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English
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research team; excellent communication skills; being fluent in the use of Python or a similar programming language is essential. Due to the international character of our research, good command of spoken and