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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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transition to an independent career National and international networking as part of a multidisciplinary EU-funded project Terms of employment The salary of the postdoctoral researcher will be based on level 5
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, networking and interdisciplinary collaboration. The position is located within the sociology discipline at the Faculty of Social Sciences. The appointee will receive support for and regular feedback
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opportunities to shape your research trajectory, including support for publishing, networking and interdisciplinary collaboration. The position is located within the sociology discipline at the Faculty of Social
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quality publications within the FIBRE-MATCH project Encouragement to develop own projects with support to transition to an independent career National and international networking as part of a
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climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network
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, geology, and biodiversity, and form part of the international network of natural history repositories. The Finnish Museum of Natural History has five units: Botany and Mycology, Zoology, Earth Sciences
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quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network partners in Finnish Meteorological Institute, University of Eastern 31Finland and Tampere University of Technology
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biodiversity. The collections serve research, teaching, and public education in biology, geology, and biodiversity, and form part of the international network of natural history repositories. The Finnish Museum