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, land-use change, and environmental dynamics. • Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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through a unique model based on partnerships and by fostering the development of skills essential for Africa’s future. Located in the municipality of Benguerir, at the heart of the Green City, Mohammed VI
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological
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transitions and sustainable land use. About the research project The research will develop and apply quantitative models to analyse how new environmental constraints affect hydropower operation, flexibility
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, environmental sciences, or equivalent. -Experience in modeling ecosystem services. -Knowledge in forest management. Specific Requirements Availability to travel in Portugal and Europe. -Proficiency in English and
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geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality
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vulnerability maps at the urban scale • Contributing to simplified modelling approaches linking processes and observations • Disseminating results through peer-reviewed publications, conferences, and stakeholder
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Job related to staff position within a Research Infrastructure? No Offer Description Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis
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to environmental, nutritional, and economic analyses, support the development of new modelling approaches and datasets, and collaborate on high-impact research outputs and publications. You must hold a PhD/DPhil in