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Istituto per il Rilevamento Elettromagnetico dell’Ambiente – IREA | Napoli, Campania | Italy | 19 days ago
understanding and interpretation of the deformation behavior of infrastructures and the built environment, also considering the integration of in-situ monitoring techniques and the use of geospatial data
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and accurately annotated GPR datasets. By combining geospatial data, subsurface sensing, and AI, you will contribute to the next generation of utility mapping technologies and support safer excavation
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. Demonstrated experience with geospatial mapping tools. Demonstrated knowledge of Australian flora. Demonstrated ability to communicate effectively within a team including data-related issues. Demonstrated
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scientific literature and formulate research questions at the intersection of AI, EO and advanced computing Develop and investigate AI methods for multisource EO data, exploring approaches such as geospatial
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estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning research. You will join an
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University of Toronto | Downtown Toronto (University of Toronto / Harbord), Ontario | Canada | about 13 hours ago
pollution. We seek candidates whose teaching interests complement and enhance our existing departmental strengths ( https://www.utm.utoronto.ca/geography/ ). Candidates must have teaching experience in a
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Department Marine Affairs Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus
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) governance for health and sustainability transformations. Job Duties: The Department of Geography at McGill University has active research clusters in human and physical geography, geospatial data science
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analytical platforms that support environmental monitoring, artificial intelligence applications, geospatial analytics, and long-term research data management. Candidates should hold a Master's degree
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intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and stakeholder partners. The project addresses automated tree