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to evaluate performance, linking agronomic and ecological outcomes with socio‑economic results to identify trade‑offs within the AGRITASC Living Labs. Your PhD will combine model/tool work with direct
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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for Global Sustainability. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294034/phd-research-fellow-in-statistical-population-ecology Where to apply Website https
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statistical population ecology Apply for this job See advertisement About the position A 4-year position as PhD Research Fellow in statistical population ecology is available at Department of Biosciences
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investigators within the institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and
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of mathematical modelling techniques to model the ecology of wildlife disease. Proven ability to work to deadlines. Excellent interpersonal and communications skills appropriate for interacting with higher degree
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, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
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mathematical ecosystem modelling with experimental data. Our lab strongly supports cross-disciplinary approaches to research. We straddle the clusters of Molecular Microbiology and Ecology and Evolution, and you
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in France is crucial to inform risk analysis and mathematical modelling, and obtain precious information for epidemic preparedness, particularly for outdoor farming systems which are highly prevalent
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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