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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory
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Lomagundi-Jatuli carbonate carbon isotope Excursion (LJE) in the GOE-DEEP drill-cores. Sampling of drill cores (and potentially outcrops) for detailed isotopic-geochemical analyses including component
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in specialized and municipal healthcare, studying specific cases of human-AI collaboration, or integrating machine learning into analysis of existing datasets. The project and its findings should have
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in collaboration with partners in specialized and municipal healthcare, studying specific cases of human-AI collaboration, or integrating machine learning into analysis of existing datasets
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assistant and specialist candidate Preferred selection criteria Experience with risk analysis, human reliability, and risk modeling (any sector) Experience with experimental work, in particular human factor
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also be situated in the interface between music composition, music analysis and music technology. For the strategic developments in the department, we are particularly interested in projects that can
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The successful candidate will be associated with the research project on the development of metal-organic frameworks (MOFs) and composites for water purification and removal of micropollutants such as PFAS, amines
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for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description / Job description The NorFab
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project on the development of metal-organic frameworks (MOFs) and composites for water purification and removal of micropollutants such as PFAS, amines and other organic substances. The project is part of
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a compositional guide. This includes assessing the distribution of specific elements during condensation in the stellar nebula, gathering elemental availability for the major rock-forming and volatile