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teaching a sequence of foundational and advanced GIS courses at the undergraduate and graduate levels. Foundational courses will cover essential concepts in mapping, spatial data structures, and geospatial
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interdisciplinary approaches using pedology, hydropedology and geospatial analyses to investigate how land use affects soil properties and terrestrial processes. Alabama is a coastal state, and expertise in
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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and geospatial tools to address fundamental questions in biogeography. Resulting maps and models will be used to characterize patterns of biodiversity, spatial turnover (β-diversity), and habitat
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Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2) integrate crop, hydrologic, and GHG/energy models to quantify trade-offs
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question answering. You will: develop a semantic framework and knowledge graph to represent geodata sources, their analytical purpose and their provenance, including abstract geospatial workflows; design AI
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of Biostatistics and Population Health (BPH, https://medicine.osu.edu/departments/biomedical-informatics/divisions/division-of-biostatistics-and-population-health ) in the Department of Biomedical Informatics (BMI
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Familiarity with Docker, Kubernetes, and distributed cloud environments Experience with civic tech, open data platforms, and geospatial applications Front end experience with HTML, CSS, JavaScript/TypeScript