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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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of the CEFE in community ecology and species distribution models with that of IMAG in probability, statistical learning, and model validation. This project falls within the scope of statistical artificial
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sustainable management of European ecosystems. One position center on spatial prioritization for integrated land-use planning; the other on statistical and process-based ecological modeling of species and
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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project focused on urban biodiversity modelling and spatial ecology in Singapore. Key Responsibilities: The Research Assistant/Associate will contribute to the development of species distribution models
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validation. Develops reproducible computational workflows and pipelines for ecological data processing, modelling, visualization, and prediction. Analyzes and interprets model outputs in an ecological and
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model outputs. Working knowledge of coral-reef ecology and basic coral identification. Strong database-management, organisational, analytical and communication skills, with the ability to work in remote
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. Experience with demographic modelling, ecological databases, functional traits, spatial/environmental data or field ecology is desirable. Qualifications A first degree in ecology, biology, environmental
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, under general supervision, leads predictive ecological modeling and associated data analysis to inform ecosystem management and decision‑making, engages stakeholders during model development, and mentors