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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 months ago
foreseen and not occupied in the teaching staff map of the Institute of Geography and Spatial Planning of the University of Lisbon (IGOT-ULisboa). Where to apply Website https://www.igot.ulisboa.pt
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or tracking systems, networked hardware, or comparable hands-on technical environments. Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSduUoROdJIf0Bp0hGgOz7UN1zTxgQ2TFJheTBD… Requirements
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of ecosystem degradation and the aforementioned extreme climatic phenomena; (v) explore a “Machine Learning” analysis to explore the importance of other environmental and managerial factors in the spatial and
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programme Reference Number AE2026-0217 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0217
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of the Scientific Research Grant Regulations of the University of Aveiro. 6. Work plan: Development of heterogeneous, spatially patterned cell models through non-contact patterning techniques, such as acoustic and
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admission requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area of Biology, Ecology, Agroecology, Environmental engineering, Physical geography, Spatial planning or related
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, spatial composition, and historical features; Quality control of technical outputs produced by the team, including maps, Digital Terrain Models (DTMs), viewshed analyses, and graphic landscape
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
refinement Identify missing physics from simulations (spatial inhomogeneity, back-reaction, attractors) and propose model extensions or semi-empirical corrections. Derive/implement models and fit parameters
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characteristics and needs of each case study. The assessment will address the criticality, vulnerability, risk, and resilience of critical infrastructure at relevant spatial scales, comparing conditions with and
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(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING