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Field
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, geospatial science, geography, environmental health, public health, epidemiology, environmental science, data science, climate science, or a related discipline. Have research experience in environmental
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intelligence. Our work spans computer vision, geospatial and positional data, signal data, and full-motion video. We apply frontier AIML models and large-scale data fusion to enrich data and solve hard mission
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, sensemaking, narrative development, stakeholder needs analysis). • Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.
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% Responsible for maintaining data standards, system integrity, and documentation quality. Core Duties: Perform quality assurance reviews on CAD and GIS datasets. Validate geospatial accuracy and utility
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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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for admission. The project would suit a candidate with a background in surveying/geodesy, geomatics, remote sensing, geospatial science, civil/environmental engineering, hydrology, Earth observation
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on them. Our work spans the natural and social sciences. We connect field experience, geospatial technology, and community-engaged research to the challenges facing eastern North Carolina and the wider
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detection and counting, visual question answering, semantic segmentation, and change detection. This position resides in the GeoAI Research Group in the Geographic Data Science Section, Geospatial Science and
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the reference REFARMING-NORTE2030-FEDER-02719900, financed by Northern Regional Programme 2021-2027 (Norte 2030), under the following conditions: Scientific Area: Geospatial Engineering. Admission requirements