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tracking, pupillometry or related psychophysiological methods, or is eager to acquire these techniques; has strong quantitative and statistical skills (preferably using R and/or Python); demonstrates
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building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or
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strong 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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scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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Holocene lowlands, and translation them into subsurface maps, sections, and schematizations; Proficiency in numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation