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related field. Preferred Qualifications Statistical and geospatial methods. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail
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• Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic
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-generation wireless, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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geospatial analytics and programming abilities to execute complex model intercomparison and scaling assessments. This is a unique opportunity to contribute to multiple high-impact publications and shape
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and
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analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g
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://infographics.uoregon.edu/ . Minimum Requirements (updated): To qualify for Research Assistant (Type B): • Bachelor's degree in spatial or design field • Two years’ professional experience working with geospatial and/or