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mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a strong
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, you will evaluate the social feasibility of implementing solutions in real-world settings, working closely with partners like the Delta Climate Center and local stakeholders. Methods will include
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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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candidates with: An MSc degree in (or nearing completion of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a
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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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, 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
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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burial of microplastics and POC in turbidity currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the