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Field
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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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(sedimentation, meltwater flows, vegetation changes, landslides). Process and analyse geospatial datasets, including 4D point clouds from UAVs and TLS, integrating them into adaptive design frameworks. Develop
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Computational Design advances generative and immersive design methods by integrating geospatial intelligence to address sustainability challenges in urban and landscape systems. Her research group has
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ecosystems using geospatial data with the objective of obtaining the coastal protection service provided by different types of ecosystems. - Analysis of data obtained in numerical simulations, including
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Earth Observation data including Satellite Remote Sensing together with Soil and geospatial datasets. The All-Island Climate and Biodiversity Research Network (AICBRN) brings together researchers from a
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and outstanding education are interlinked and equally valued. We are seeking a Senior Post-Doctoral Researcher to join the Geospatial Machine Learning (Geo-ML) project in the National Centre
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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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requires a high level of judgment, scientific initiative, and technical skill in geospatial data processing, as well as the ability to manage multiple deadlines and prioritize tasks. The successful candidate
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific