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scripting. Have experience with Shapefiles and geospatial data. CONDITIONS Duration: 36 Months Starting date: Autumn 2026 Contract Type: Full time Salary range: 39.000-43.000€ gross annual HOW TO APPLY
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. For more information about this position and UC Davis Campus Planning click here . https://campusplanning.ucdavis.edu/news/job-opening-campus-planner Apply By Date 2/22/2026 at 11:59pm Qualifications Minimum
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learning, geospatial AI, causal modelling, and digital health systems. Your Role You will develop the core AI and data-driven models that transform large-scale exposomic and health data into actionable risk
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. For in-unit faculty, the EESP program may be extended to spouses and dependent children (eligibility rules apply). For details on FAU's amazing offers visit us at https://www.fau.edu/hr/benefits/index.php
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1, 2020, in City
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restoration. The work involves geospatial and remote sensing data (satellite imagery, drones, LiDAR), with possible fieldwork and project support. Tasks will be tailored to your skills and interests. Work
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. Preferred Qualifications / Skills: Preference will be given to candidates who combine fieldwork with geospatial approaches, and/or work with large datasets. Candidates that can contribute to the establishment
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
Plan The work plan for the research fellow to be hired is as follows: 1. Preparation, processing, and validation of geospatial data; 2. Collection, harmonization, and quality control of cartographic data
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and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and