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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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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
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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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PhD Position in Physiological Tree Ecology 100 % / starting July 2026 or later The Physiological Plant Ecology group at the Department of Environmental Sciences at the University of Basel in
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an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement. The position is
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cormorants with an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement
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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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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets