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(NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English communication skills and an interest in interdisciplinary collaboration. Our
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representation and knowledge graphs; programming skills in Python and knowledge of relevant NLP libraries (e.g. spaCy, Hugging Face Transformers); good English communication skills and an interest in
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
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engineering challenges, and are motivated by contributing to the advancement of scientific knowledge. Furthermore, you bring multiple of the following qualifications: Scientific and Technical Competence You