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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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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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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Climate Resilience / Urban Sustainability / Global Change Ecology
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FieldEnvironmental scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Required education level A Master’s degree in oceanography, ecology or modelling (required by the start date of the PhD
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Skills/Qualifications Applicant must hold a Master degree in Ecology or a Master degree in modelling with strong interest for scientific ecology. A strong experience with R/R Studio will be necessary
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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environmental economics. RESEARCH ENVIRONMENT This project will be under the primary supervision of Dr Brooke Williams, you will join the new Biodiversity, Forest Restoration, and Ecology (BIOSFERE) Lab https
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expertise. 2. Curriculum Vitae including a list of publications (maximum 3 pages). Where to apply Website https://jobrxiv.org/job/phd-position-in-machine-learning-and-ecology/?utm_sourc… Requirements
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 9 hours ago
biodiversity and its uses: 1) Assessing the current state of marine biodiversity, 2) Understanding and modeling the functioning and evolution of marine organisms and ecosystems, 3) Evaluating the causes
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PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO-ICE, which