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-source geospatial data (e.g., network, satellite); experience with GIS and GeoAI-related model development and evaluation; an interest in GIScience, health inequality and health system resilience; strong
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for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal deep learning, and its extensions for these additional targets. In particular, we have a large collection of
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postdoctoral researcher in the NWO KIC project STURDI-Water (Storage, Upgrade, Reuse and Distribution of Water in regional collaborative networks), you lead research aimed at identifying the key success factors
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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of NBS. This position centres on “Task 3.3 – Establish a Mediterranean NBS Community of Practice as a Social Innovation Network”. Building on insights from earlier translocal social innovation research
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multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal
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pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies
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professional network supporting your future scientific career. Key Responsibilities Design and execute mass spectrometry–based workflows for the identification and quantitation of disease-associated antigens