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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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. About the position The work includes collection and processing of agricultural and process data, GIS, modelling of biomass and product flows, scenario development, and environmental and economic
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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de
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Freedom of information Research Fellow in Large Scale Choice Modelling This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to
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diversity, crop modelling, remote sensing and environmental measurements, with extensive collaboration within SLU and with agricultural organisations, farmers and other research partners. Read more about the
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Freedom of information Research Fellow in Machine Learning Assisted Choice Modelling This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also
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, or functional groups respond to environmental change and the concept is increasingly recognised as a key driver of ecosystem resilience. Understanding and promoting response diversity is therefore
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environmental impacts of transportation infrastructure projects and drinking water supply. By integrating multi-fidelity geospatial and operational data with numerical modelling and data-driven approaches—such
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, field surveys or biodiversity monitoring Experience with R and the analysis of ecological, environmental, spatial or climate data Experience with ecological modelling, including mixed models, time-series