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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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new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline. Practical
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of Geosciences starting as soon as possible. The preferred candidate should have carried out research in primatology, focusing on behavior, ecology, evolution or genetics of non-human primates. Well-documented
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statistics; Experience with process-based models in ecology and biogeography; Knowledge of other programming languages (Julia, Python) and cluster-based computing. LanguagesENGLISHLevelExcellent Additional
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this role, the ideal candidate will combine a rigorous foundation in statistical modeling with an understanding of ecological processes, biodiversity data, and the inherent uncertainty within these systems
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, we perform comparative studies using both amphibian and mammalian model systems, including human embryonic stem cells. Overview The postdoc will work on a project studying coral stem cells. They will
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate