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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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proposals. Grant reporting, managing and monitoring. Work with researchers, and industry partners to gather data and align simulations with practical needs. Identify gaps in existing bio-process models and
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be on simulating the printing process, which requires, e.g., the definition of a proper material model that adequately describes rheological aspects and the adjustment of extrusion-related parameters
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental