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world. Through collaborative, data-driven research, we integrate ecological, social, and economic data to develop innovative tools and strategies that support resilient fisheries and communities. Working closely
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. Students focus on (i) diversity, evolution and ecology of algae, (ii) taxonomy and ecology of fungi, (iii) symbiotic interactions of lichens, (iv) biosystematics and evolution of plants, (v) ecology
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2 Apr 2026 Job Information Organisation/Company Institut Agro Montpellier Research Field Environmental science » Ecology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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/InstituteDepartment of Molecular Ecology at the Senckenberg Biodiversity and Climate Research Centre (SBiK-FCountryGermanyGeofield Contact State/Province Hesse City Frankfurt Website http://senckenberg.de Street
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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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, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate ). We also began exploring how
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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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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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products, bioenergy, land use change and carbon cycle modelling, ecosystem science, social-ecological systems, sustainability science, systems biology, systematic conservation planning, biodiversity
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research, teaching, and promoting an environment that allows all members of the department to thrive. Principal concentrations include weather prediction, air quality, air-sea interactions, climate modeling