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Field
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currently exists to map and explain the diverse mechanisms of housing exclusion. Addressing this gap requires integrating geospatial analysis, explainable AI (XAI), and behavioural research methods, including
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Bio and Agro-Defense Facility (NBAF), the Arthropod-Borne Disease Research Unit (ABADRU), and the Geospatial and Environmental Epidemiology Research Unit (GEERU) to model the risk of highly pathogenic
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description] We will employ geospatial data to analyze inter-industry connections at both national and global levels. This position offers an excellent opportunity to contribute to advancing research
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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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to analyze geospatial data to support resource management decisions for multiple resource, jurisdictional, and ownership units or a large geographical region. It requires knowledge of cartographic principles
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equivalent) in Geospatial Sciences, Computer Sciences, Architecture and Urban Planning, Environmental Sciences, Geography, Landscape Ecology, or any other related field. • Strong research background in
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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regions to capture high-resolution spatial–temporal environmental data (sedimentation, meltwater flows, vegetation changes, landslides). Process and analyse geospatial datasets, including 4D point clouds
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professorship in Computational Design advances generative and immersive design methods by integrating geospatial intelligence to address sustainability challenges in urban and landscape systems. Her research
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-scale geospatial and/or climate datasets (e.g., NetCDF, GRIB, Zarr). Knowledge of Earth system models and climate science. A strong track record of publications in relevant scientific venues. Competences