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, share, and synchronize user data across platforms—for example, through identifiers, cookies, fingerprinting, or covert communication channels. The goal is to uncover hidden tracking practices that operate
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omics dataset generated to infer alterations in gene regulatory networks and cell-cell communication pathways responsible for the neurodegeneration. These predictions will be functionally validated using
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(neural networks, model training and evaluation). Graph neural networks (GNN) or other current architectures (e.g. transformers). Causal inference or computer networks. Interpretability of AI (mechanistic
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researchers and has a long track record of success in research projects for and in collaboration with companies. GPDS develops different lines of research, in particular the design and development
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track record of at least 2.5 years (5 points for every 6 months) dedicated to studying the stability of these solar cells and the correlation between their morphological evolution and photovoltaic
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Description of Group/Project: The Nanostructured Functional Materials (Nanosfun) group at ICN2 has a well-established and internationally recognized track record in nanoscale materials for medical applications