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or more of the following: ecological modelling, dynamical systems, network analysis, Bayesian statistics or probabilistic modelling, mathematical biology, multivariate data analysis. Interest in connecting
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, ecological modelling. Ability to work collaboratively within large research networks (BOSFOR, PEPR FORESTT). Strong written and oral communication skills. Driving licence Additional Information Work Location(s
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Climate Research Centre (SBiK-F), starting as soon as possible: Postdoc in vegetation and ecosystem modelling (m/f/d) (Full time / part time options available) Location: Frankfurt am Main Employment scope
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experimental work and actual monitoring data that establish cause-effect relationships with large-scale habitat mapping and spatial-dynamic modeling. Experimental components include onsite incubation experiments
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Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) im Forschungsverbund Berlin e.V. | Stechlin, Brandenburg | Germany | 2 days ago
ecology, environmental sciences, or a closely related field Demonstrated expertise in process-based ecosystem modelling Experience in designing and conducting field sampling and/or experiments in freshwater
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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research in a dynamic, international, and highly supportive environment. Supervisor: dr. Tina Eleršek Topic: Nature-based solutions for reducing eutrophication and improving the ecological status of inland
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar in Forest Ecology and Data Science (JPF03090) Postdoctoral Scholar in Forest Ecology and Data Science Apply now to
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with UAV, spatial modelling, and high-resolution spatial ecology. No published or accepted articles:....................................................................................0 points 1 to 2
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to eCO2, contributing to climate models and projections. The fellow will be based at the State University of Campinas's Center for Environmental Studies and Research (NEPAM-UNICAMP) in São Paulo state