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equation modelling, and latent class analysis. - Conduct spatial and geospatial analyses linking health, social, and built environment data - Develop maps, dashboards, and visualisations to examine
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, socioeconomic, and geospatial data; Contribute to patient-level and population-level modelling approaches, including temporal, spatial, and multimodal prediction frameworks; Apply and evaluate methods for disease
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. Existing predictive models provide useful but incomplete support because they cannot fully capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches
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contribute to advancing research in Earth system modeling and to improve understanding of interactions among land, water, carbon, energy, atmosphere, ecosystems, and human systems. This is a one-year
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hands-on experience and skill in using novel spatial and geospatial data sources, advanced analytics, and computational modeling. Areas of focus through which qualitative and quantitative data can be
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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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Surface Water and Ocean Topography (SWOT) satellite data to river discharge estimation, hydrologic modeling, and water resources research. Develop and implement methods and workflows for data processing
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
, implementation science, geospatial analysis, biostatistics and research design, analysis of interventions (e.g., difference-in-differences), AI analytics, agent-based modeling, Bayesian modeling, causal inference
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, and modeling. Geospatial modeling To model the spatial distribution and quantify the suitability of waterfowl habitat conservation capital and opportunity in Michigan, including consideration and
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, - the design and implementation of data models and databases, including geospatial databases, - the development of data processing and integration pipelines (scripts, pipelines) , - support to scientif ic