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Field
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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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of annelid evolution across broad spatial, ecological, and temporal scales. Your tasks: Generation of low-coverage whole-genome sequence data in the LIB HH molecular laboratory including genomic DNA extraction
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to Umeå Marine Sciences Centre and the Department of Ecology, Environment and Geoscience, supported by multidisciplinary teams with complementing expertise in marine biology and AI-driven modelling and
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limited to) Biology (Ecology), Agriculture and Forestry, Environmental Science or Conservation Science; • Proficiency in R; • Proven skills (e.g. publications) in statistical modelling (e.g. use of R
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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required. The position offers an excellent opportunity to work on interdisciplinary projects combining spectroscopy, environmental chemistry, ecology, and ecosystem modelling within an international research
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impacted their genomic diversity. The project focuses on Lepidoptera (butterflies and moths) as model system, that are currently threatened or vulnerable, which serve as important ecological indicator. By
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the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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thereby interact with a diverse team of investigators with expertise in marine biogeochemistry, marine microbial ecology and diversity, and physiology of key microbial model organisms. Where to apply