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Field
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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countries. We also host a large data set of > 30,000 terrestrial insect species, based on DNA metabarcoding. Additionally, we have access to accompanying environmental data. These data sets provide a unique
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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compiling and analyzing (geostationary) satellite datasets with km‑scale simulation data and have the autonomy to set your own scientific emphasis. As team member for the ERC Starting Grant “MesoClou”, you
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied
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. No. 6974 until July 13th, 2025 to eim-m-gs@uni-paderborn.de. Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/personaldatenschutz . We are not
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 3 months ago
explicitly encourages women to apply for this position. The IPP is committed to employing more disabled individuals and especially encourages them to apply. For information on data protection and the handling
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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team dedicated to advancing high-throughput, data-driven multi-omics research in pediatric hematological malignancies. The group is affiliated with the Division of Pediatric Hematology and Oncology