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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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criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
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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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MODFLOW, MT3DMS, SEAWAT or closely related codes is an advantage. A solid understanding of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty
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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 geology
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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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, PRM) with platforms such as FragPipe, Peaks, Spectronaut, MaxQuant, Skyline or equivalent tools. Solid background in state-of-the-art packages and analysis pipelines in mass spectrometry-based