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Field
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loads beyond their original design capacity, hence in urgent need of a reliable real-time damage identification system. The current practice of visual inspection of bridges can be subjective and exposes
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-temporal visual transformers - ST-ViT). Fine-tuning foundation models like Cambridge TESSERA and IBM-NASA Prithvi could map the extent of damage to wood stocks. Road maps can be queried (e.g., from PostGIS
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about the visual environment changes with age, by examining the bidirectional interactions between these two types of vision. The second focuses on how the predictive influence of peripheral vision on eye
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Job Description If you are ambitious and seeking to contribute to developing novel chemistry for a sustainable future using advanced visualization methods, then a possibility is right here for you
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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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Nationale des Ponts et Chaussées, IP Paris, under the supervision of Mathieu Aubry , in the context of the DISCOVER ERC project on "Discovering and Analyzing Visual Structures". This PhD project aims
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characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale
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improvement options, and visualize for end users. Develop an agent-based digital twin platform of VvEs to support the energy transition decision making. Further develop agent-based model for collective decision
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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. The work will involve: Digitisation and computational processing of historical records, including metadata creation, textual analysis, data mining, and visualization. Development of an interactive and