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; experience with statistical analysis, experience with data manipulation in SAS and/or SQL; experience in spatial analysis and mapping using ArcGIS Pro; experience developing and maintaining interactive
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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including immunohistochemistry, second harmonic generation microscopy, and multi-omic analyses (e.g., single-cell RNA sequencing, spatial transcriptomics, proteomics). Analyze, interpret, and integrate large
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that are determined by the various global flows and the search for ways to tame them and re-establish sovereignty, there are historical moments when conflicts concerning new spatial frameworks of social interaction and
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv
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, spatial economy and planning, transport studies, urban analytics and smart cities, housing studies, healthy cities and urban environmental studies. Information about the Department can be obtained at https
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TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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policy, with preference to the following focal areas: terrestrial wildlife, spatial ecology of land-use change, One Health, urban ecology, or sustainable agriculture. Evidence of research and teaching