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broader understanding of evolutionary and ecological processes and develop technical skills. The work will involve fieldwork, statistical modelling, bioinformatics and cell biology, including culturing and
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, bioinformatics, and ecological modeling. Results will inform future biodiversity monitoring frameworks, adaptive forest management, and conservation policy. At the Department of Wildlife, Fish and Environmental
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progress is on track. The aim of this project is to provide an empirical basis for ecological time lags across species, scales and ecosystems. Building on theoretical and modelling work led by PI Graham and
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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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restoration ecology (see https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ ). The department has many international employees and well-established
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19 Dec 2025 Job Information Organisation/Company Leiden University Research Field Environmental science » Ecology Environmental science » Global change Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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for Ecological Transition (ADEME). Together, these projects seek to improve our understanding of ozone formation in the atmosphere and to contribute to the design of effective strategies for reducing ozone
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. Demonstrate experience in marine spatial and multivariate modelling of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed