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Biodiversity Research in the Biodiversity Dynamics and Conservation Group, a team of about 30 persons. Our group studies patterns of biodiversity and biodiversity change at various spatial and temporal scales
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and spatial genomic or imaging data, and multimodal integration Expertise in statistical causal discovery and inference Publications or open-source contributions in generative models Strong interest in
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improvement. Pursue and support grant-funded research through methodological design, analytic strategy, and dissemination. Conduct advanced statistical modeling (regression, multilevel, survival, and causal
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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specimen- and data-rich resources that drive innovative biostatistical and statistical methods. Opportunities for broader impact include initiatives such as the Cancer AI Alliance: https
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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of computational tools and pipelines for spatial, temporal, and multi-omic data Support the synthesis of pilot findings and contribute to future research directions and proposals Equal Employment Opportunity
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such as artificial intelligence, geographic information systems, and statistical methods. The researcher will be responsible for: Helping collect, organize, and ensure interoperability of clinical
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inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological