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builds on our previous modelling studies (Sentis et al. 2017, Ecology Letters; Dijoux et al. 2024, Ecology Letters) and will utilise our on-site mesocosm facility (Duchet et al. 2024, Water Research
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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modelling studies (Sentis et al. 2017, Ecology Letters; Dijoux et al. 2024, Ecology Letters) and will utilise our on-site mesocosm facility (Duchet et al. 2024, Water Research; Duchet et al. 2025, Journal
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representation of the relationship between ecological crisis and technoscientific progress across a broad historical span, from the aftermath of the Industrial Revolution to the present day, in francophone
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biology, evolutionary biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model
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, including knowledge of statistical modelling and R - the ability to acquire external research funding Specific Requirements - programming skills: - R - experience in analysis of ecological data, preferably
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that are differentially expressed in genome-sequenced marine model bacteria and natural marine bacterial assemblages. Analyses will involve state-of-the-art techniques in microbial ecology and molecular biology (e.g. gene
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
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-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing different types of social and ecological
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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research