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performance over time. We're looking for a candidate with a strong background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on
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adsorption/incorporation of PO4 into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your
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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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a related discipline by the starting date of the position; a solid foundation in quantitative research methods and statistics, and a strong interest in multilevel modelling; excellent written and
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secondments are possible. Your qualities A relevant Master’s degree in Biology, Biomedical sciences, Biopharmaceutical Sciences, Biochemistry, or a related field, and a solid background in one or more of the
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Sustainable Development. The Department of Earth Sciences conducts teaching and research across the full range of the solid Earth and environmental Earth sciences, with activities in almost all areas of
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Geography, and Sustainable Development. The Department of Earth Sciences conducts teaching and research across the full range of the solid Earth and environmental Earth sciences, with activities in almost