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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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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
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Planning and undertaking fieldwork. Experience working with field sampling/monitoring/labwork/experiments. Experience with GIS mapping. Basic data analysis skills in R/Python/Excel. Strong communication
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; Knowledge on handling large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into
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, lipidomics, and proteomics. Experience with multi-omics analyses is an advantage; Basic proficiency in data analysis using R, Python, and/or Matlab, with a strong interest in computational methods
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, image-based phenotyping, R/Python, statistics or machine learning is an advantage. We do not expect candidates to already have expertise in all of these areas. Our offer a position for 18 months, with
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), Python, or Stata. Prior exposure to firm-level databases such as Orbis is an advantage; have demonstrable analytical and project management skills; have an excellent command of written and spoken English
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numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation of geohydrological schematizations; The ability to work independently and take initiative, with good