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the English Language. More information can be found here . We offer you Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: partially
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will work with existing FH patient cohort data sets from France, Portugal, Czech Republic, and Turkey, which will be expanded with multi-level multi-omics data, including genetic, transcriptomic
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collaborate with an interdisciplinary team of researchers consisting of Clara Ekerdt, Guillen Fernandez, Gabi Janzen, Evan Kidd, Kristin Lemhöfer and James McQueen. This team have been working on a large-scale
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Your job Bring Structure, Clarity, and Direction to a Data-Driven Policy and Research Environment Are you analytically strong, enjoy creating order within complex data flows, and a team player who
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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institutions has received funding from the European Commission (Horizon Europe) for a large-scale, multi-disciplinary research project on the future world of work and social protection in Europe. TransEuroWorkS
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duties (keeping track of important deadlines; processing data in various systems) First point of contact for staff, students, and guests Supporting the chair group (internal information provision
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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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of the English language is expected to be at C1 level . Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here . We offer
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis