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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 31
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-organise a theme day during a summer school (scheduled in 2027) on the role of dike grassland management in water safety and biodiversity. Lastly, you will co-design and teach an educational module on dike
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conducting fieldwork, and in performing molecular labwork. You have a demonstrated ability to work with R for data analysis. Experience with, or a keen interest to learn, the analysis of metabarcoding data
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demonstrable outputs. Knowledge and experience with data analytics and the capability to quickly learn new hardware/software techniques. Ability to independently organize his/her own work, to solve problems
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning