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of geospatial information through Web Feature Services (WFS); Excellent command of Portuguese and English, both written and spoken. Specific Requirements Applicants must hold a Master's degree in Geography
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resource options, including cross-sector co-location. Conduct geospatial and data science analysis supporting site suitability, resource constraint mapping, scenario planning, and the COMPASS interactive
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ATSDR's mission to protect communities from harmful environmental exposures. You will have a chance to participate with Simulation Science Section (SSS), Toxicology Section (TS), and Geospatial Research
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Proficiency in Python for geospatial data handling, model workflows, and scientific computing Strong communication skills and enthusiasm for interagency scientific research Application Requirements A complete
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geospatial datasets. Integrating remote sensing datasets (e.g., optical, LiDAR, SAR) with ecological or environmental data. Proficiency in statistical computing and geospatial analysis using R and/or Python
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to 3.5 years based on the performance and career plan of the hired person. Responsibilities • Assess landscape performance (visual, spatial, and functional) • Apply geospatial and image-based
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appointment and potentially renewable based on performance and funding availability. Key Responsibilities: Develop remote-sensing and geospatial datasets for monitoring land-use change and environmental systems
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strategies. • Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling. • Collaborate with domain experts and (where relevant) operational
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the guidance of a mentor, you will learn about (1) geospatial processing and ML/AI methods and (2) how to contribute to SCINet and the ARS AI Center of Excellence community by developing and publishing workflows
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Research Cultural Analytics and Network Analysis Geospatial Approaches to Art History Supervision The Fellow will also benefit from the wider research community within Birkbeck, with opportunities