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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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biology, evolutionary biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 7 days ago
in computational ecology (R software) The ability to implement and develop scripts (linear models, multivariate analyses, AI) Openness to interdisciplinary approaches Writing and communication skills
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 7 days ago
) Data analysis and modeling Where to apply Website https://www.hellowork.com/fr-fr/emplois/77604168.html Requirements Research FieldEnvironmental science » EcologyEducation LevelMaster Degree
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environmental datasets; • Skills in statistical analysis and data processing; • Experience or interest in ecological modeling and spatio-temporal analyses; • Proficiency in scientific programming tools (R, Python
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the use of possibilistic models—neither deterministic nor probabilistic—which allow exploration of all possible futures. These models, already tested on local and present-day social ecological systems, will
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, their comparison with archaeological data and the application of ecological niche models. The mission is to compare a high-resolution pollen record from a deep-sea sedimentary sequence of the Iberian margin covering
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-temporal analysis of abundances, trophic ecology, physiological condition and biophysical modeling to quantify the interaction between connectivity and survival. This doctoral topic is distinguished by its