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, georeferenced maps and datasets, and guidelines for inclusive and sustainable urban policies. Work Plan The research work to be developed under the All@CityScape – Urban Landscape and Identities in Multicultural
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plan: The primary objective of the candidate’s work is to support the development of a nationwide map of Acacia longifolia distribution in Portugal. This map will provide a reference baseline for
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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas
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: Literature review on climate resilience of railway infrastructures, biodiversity impacts and nature-based solutions; Development of cartographic and spatial analyses for climate risk mapping and ecological
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, which must include: i) “Researcher ID”, “Scopus Author ID” and “Google Scholar ID” identifications ii) Research and development activities and other activities relevant for the present tender procedure
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vitae of the candidate, which must include: i) “Researcher ID”, “Scopus Author ID” and “Google Scholar ID” identifications ii) Research and development activities and other activities relevant
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— localization and mapping (e.g., SLAM), motion planning, and semantic perception — focusing on multimodal sensor data fusion (LiDAR, RGB-D, IMUs) for robust real-world performance. Research areas include
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of econometric analysis and experience using Stata and/or R. Experience with administrative databases will be valued. Skills in map creation and Geographic Information Systems (GIS) will be valued. Experience in