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and will lead qualitative, participatory, and stakeholder-facing aspects of the project. They will design and run co-design workshops, contribute to analysis and evaluation, and work closely with
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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implementation of the sensor network in strategic tourist locations • Identification and analysis of installation locations based on historical congestion patterns. • LoRa coverage planning, including
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impact on University policies and procedures. Participate in external networking opportunities to enhance sector knowledge and to share best practice with/from other institutions. Lead the local delivery
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review of fire modeling. Improvement of selected models. Analysis of the implications for transport networks. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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Conference on Neural Networks (IJCNN), pages 1–10, July 2022. doi: 10.1109/IJCNN55064. 2022.9892277. URL https://ieeexplore.ieee.org/document/9892277/?arnumber= 9892277. G. Bellec, D. Salaj, A. Subramoney, R
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European wide Doctoral network on the security and resilience of critical cyber physical systems – SecReSy4You, funded by the Marie Skłodowska-Curie Actions Doctoral Networks scheme (https://secresy4you.eu
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, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at conferences. IMPORTANT: Please specify in
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber