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techniques such as magnetic imaging, optical microscopy, (FIB-)SEM analysis, or microCT. Some experience with scientific programming (e.g., Python) and willingness to further develop these skills. Strong
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of Software Engineering; demonstrated collaboration and communication skills with an independent outlook in defining and solving research problems; demonstrated programming skills (Python is a plus
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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questions; interest in conceptual modelling, knowledge representation and knowledge graphs; programming skills in Python and knowledge of relevant NLP libraries (e.g. spaCy, Hugging Face Transformers); good
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., Python, RDF) and some skills in web-based data retrieval; good English communication skills; interest in interdisciplinary collaboration. Additional Information Benefits A position for one year, with
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, or similar; strong programming skills (Python or similar); affinity with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and
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for the design of laboratory experiments as well as field measurements; demonstrable experience with data analysis in R or Python, process-based modeling (e.g., soil carbon models; geotechnical approaches
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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