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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
Research Infrastructure? No Offer Description Applications are open for 2 (two) Research Studentship(s), within the framework of project GeoARMUR “Geospatial AI for Resilience Management and Urban Recovery
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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of geospatial reasoning and map-based knowledge discovery. Your job Geographic questions like 'What is the potential for reducing urban heat in Amsterdam by installing green roofs on existing buildings
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to train tomorrows leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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science. Application process: For further details on the scholarship and on the application requirements and process, follow the link below https://www.ucd.ie/spire/study/prospectivephdstudents
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Framework Programme? Not funded by a EU programme Reference Number 163845 Is the Job related to staff position within a Research Infrastructure? No Offer Description Automatic geospatial data processing
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question answering. You will: develop a semantic framework and knowledge graph to represent geodata sources, their analytical purpose and their provenance, including abstract geospatial workflows; design AI
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and geospatial tools to address fundamental questions in biogeography. Resulting maps and models will be used to characterize patterns of biodiversity, spatial turnover (β-diversity), and habitat
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting